flexible smart metering for multiple energy vectors with...

FLEXMETER 646568 D8.1 First Period Report H2020-LCE-2014-3

Public

H2020-LCE-2014-3 FLEXMETER

Flexiblesmartmeteringformultipleenergyvectorswithactiveprosumers

ProjectDuration 2015-01-01–2017-12-31 Type CP

WP no. Deliverable no. Lead participant

WP8 D8.1a POLITO

First Period Report (Periodic Technical Report PartB)

Prepared by Andrea Acquaviva

Issued by FLEXMETER Project Office

Document Number/Rev. FLEXMETER/D8.1/V1.0

Classification PU

Submission Date 01/09/2016

Due Date 31/08/2016 This project has received funding from the European Union’s Horizon 2020 research and innovation

programme under grant agreement no. 646568

©Copyright 2010 POLITECNICO DI TORINO, IREN ENERGIA SPA, STMICROELECTRONICS SRL, TELECOM ITALIA, RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN, INSTITUT POLYTECHNIQUE DE GRENOBLE, UNIVERSITATEA POLITEHNICA DIN BUCURESTI, SIVECO ROMANIA SA, ALMA MATER STUDIORUM – UNIVERSITA’ DI BOLOGNA, E-ON SVERIGE AB.


This document and the information contained herein may not be copied, used or disclosed in whole or in part outside of the consortium except with prior written permission of the partners listed above.

Document

Title First periodic report

Type Deliverable

Ref

Target version

Current issue

Status Final

File D8.1a_flexmeter_final_asdeliverable.pdf

Author(s) Andrea Acquaviva (POLITO), Enrico Macii (POLITO), Paola Campana (POLITO)

Reviewer(s) Andrea Acquaviva (POLITO), Enrico Macii (POLITO), Paola Campana (POLITO)

Approver(s) Andrea Acquaviva (POLITO)

Approval date 31/08/2016

Release date 31/08/2016

Distribution of the release

Dissemination level PU

Distribution list All consortium

History of Changes

Date Version Comments

21/08/2016 0.1 Partners contribution added

31/08/2016 1.0 Final version


1. Explanation of the work carried out by beneficiaries and Overview of the progress

1.1 Objectives

TheobjectivesaslistedintheDoWarereportedhereforreference:

TheoveralltargetofFLEXMETERistocreateasmartmeteringinfrastructureenablinginnovativeservicesfortheDSOandprosumers.Theinfrastructureiscomposedbyahardware(meteringandcommunication)andasoftwarepart(IoTplatformandapplications).FLEXMETERprojectdoesnotfocusonspecificHWcomponentsandithasbeendesignedto interface with standard web-oriented protocols with commercial solutions. However, to develop innovativeservices,theprojectfocusesonsmartmetershavingenhancedfeaturesthatarenotcurrentlypresentinrealsystemsbuttheyarelikelytobepresentinthenearfuture.

Tosummarize,duringthefirstperiodoftheprojecttheconsortiummadethefollowingrelevantdecisions:

• We considered the usage of off-the-shelf meters where available, however to unlock new services weexploitedconsortiumexpertisetodevelopmeterswithadvancedfeatures,thatwillbelikelyavailableinthenearfuture,that is IoT-enabledandcapableofmoreaccuratesamplingandreportingrate.For instance, inItalythesecondgenerationofsmartmeters fulfillingpartiallytheserequirementswillbesoonavailable. InHilliethemeternetwork isalreadyIoT-enabled.Assuch,thankstotheguidanceofexpertpartnerssuchas

IntheFLEXMETERprojectaflexible,multi-utility,multi-servicemeteringarchitecturewillbedesignedanddeployedintwodemonstrators.Inordertoreachthisambitiousobjective:

. simpleoff-the-shelfmeterswillbeplacedattheusersforelectric,water,thermalandgasmetering;

. abuildingconcentrator,wherethe“smartness”ofthemeteringsystemwillreside,willbeinstalled;

. everybuildingconcentratorwillcommunicateononesidewith10to20usermeters,andontheothersidewithacentralsystem;

. simpleoff-the-shelfmeterswillbeplacedalsoinMV/LVsubstations;

. thecentralcloudsystemwillcollectdatafromthebuildingconcentratorsandfromMV/LVsubstationmeters;

. Datacollection,fusionandminingalgorithmswillbeadopted.

Theproposedarchitecturewillallowforinnovativeservicesfortheprosumers,forexample:• accessibledataandhistoricalrecordsoftheconsumption;• analysisoftheelectricconsumptionwithsavingsuggestions;

TogetherwithinnovativeservicesfortheDSOs,forexample:

• faultdetection;• detectionofenergythefts;• networkbalancing;• storageintegration.

Alsodemandsidemanagementdevicescouldbepluggedintothesystem.

IntheFLEXMETERprojecttwopilotapplicationsintwodifferentcountries(ItalyandSweden),onrealdistribution

systems,withtheinvolvementofthelocalDSOsandvolunteerprosumerswillbedemonstrated. Theresultsonthedemonstratorswillthenbescaleduptothesizeofthecitiesinordertoevaluatetheadvantagesonarealscale.


ST,UNIBO,IRENandEON,weselectedmeterswithspecificfeaturestobeinstalledinthepilots.Detailsarereportedlaterinthissection.

• SubstationmeteringisakeycharacteristicofFLEXMETERinfrastructuretoenableDSOservices• FLEXMETERinfrastructurehasbeendesignedtointerfacewithboth:

o IoT-enabledsmartmeters,homeandbuildinggatewaystocollect(near)real-timedatao Utilityrepositoriesofconsumptionandproductiondata,bothfromprosumersandsubstations

• FLEXMETER solution requires the installation of new smart meters to unlock NIALM services. However,FLEXMETERdoesnotrelyonnewhardwareinstallationingeneral.Infuturenetworkswithsecondgenerationsmartmeters,FLEXMETERcandirectlyinterfacewiththemtoprovideitsservices.

• WedefinedanumberofservicesandtheassociatedusecasesforDSOandprosumersatthebeginningoftheproject thathavebeenrefined in the firstperiod.Theseservicesarebasedonalgorithmsandcomponentsthatareunderdevelopment.Weidentifiedanumberofusersfortheseservices,includingnotonlyDSOsandprosumers, but alsoRetailers andnew companies acting as EnergyAggregators.Moredetails about theseservicesarereportedlaterinthissection.

• Substationmeteringremainsakeycapabilitytoenablefaultandstorage-relatedservicesfortheDSO.Whilesubstationmeterswillbeinstalled,DSOservicesrelatedtofaultdetectionandstoragemanagementwillbetestedontheFLEXMETERsimulator.

• As an additional contribution of the project, we developed a multi-layer real-time simulator that is ableinteroperatewiththeFLEXMETERplatform.Thisallowstocreatescenariosfortestingservicesthatcannotbetestedintherealnetwork,suchastheonerelatedtofaultlocationandstorage.

• While FLEXMETER focusesmainly on electricity grid and related services, the solutionwe are designing isintended for multiple energy vectors. For this purpose, thermal (district heating) and water meters areconsidered intheprojectand installed inthepilots.Whilesomeserviceshavebeendevelopedforthermalenergy,noservicesforthewatergridwillbelimitedtodataaggregationandvisualization

• WeconsideredthebusinessmodelrelatedtoFLEXMETERasasinglecompany/productprovidingservicesfordifferentusers.Inthisway,FLEXMETERcompanycantargettheDSOasacustomertoplayintheemergingdistribution-level balancing scenario, implementing network management, demand-response and energyaggregatorfunctionalities;FLEXMETERcompanycanprovideenergyawareness,savings,ordemand-responseservicestotheprosumers.Wearecurrentlyworkingonbusinessplansconsideringthismodel.

FLEXMETERconsortiumidentifiedanumberofexploitableresultsthatarereportedinD7.3aswellasthemeaningofexploitation.

InwhatfollowswereporttheprogresseswithrespecttotheobjectivesintheDoW.

Progresseswithrespecttolistedgeneralobjectives

Concerningthelistedobjectives,inthisfirstperiodFLEXMETERachievedthefollowingachievements:

• Theconsortiumidentifiedelectricitymeterrequirementstofulfilltheimplementationofinnovativeservicesfor the prosumers. The consortium purchased available meters with the wanted characteristics from themarket,butalsopursuedthedesignofnewmeterswithenhancedfeaturesintermsofcommunicationandpowersupply,exploitingtheexpertiseofSTandUNIBO.ThisactivityallowsFLEXMETERtodevelopservicesbasedonhardwarefeaturesthatwillbelikelyavailableinthenearfuture.WaterandthermalmetersarealsoincludedintheFLEXMETERsystem.Nogasmeterswereused.

• The smartness of the metering system has been entirely implemented in the cloud rather than in theconcentrator. This enabled to implement a more flexible system. Building concentrators perform mainlygatewayandbridgingfunctionalities.Theconceptofbuildingconcentrator is implementedbydifferentHWand communication solutions in the two pilots and they represent two viable solutions for IoT orientedmetering infrastructures. Both concentrators are ready to integrate the newmeters and they are alreadycommunicatingwiththeFLEXMETERcloudsystem.


• A home gateway solution designed by IREN for their customer is being integrated in the FLEXMETERinfrastructure,whilenotforeseenintheDoW.Thissolutionallowstocollectdatafromelectricityanddistrictheatingmetersinthecustomerhouse.

• MV/LV substation meters installation is ongoing. A tri-phase meter prototype based on the extension ofsingle-phasemeterdesignhasbeendevelopedbyST.

• The central cloud systemhasbeendeveloped and contains preliminarymeteringdata, bothhistorical andreal-time. The FLEXMETER software architecture designed by TI and POLITO consists of a IoT platformrunningontopofacloudserviceprovidedbySIVECO.

• Data collectionprotocol hasbeen implementedusing IoT concepts.MQTTandRESTparadigmshavebeenadopted to interface FLEXMETER system with real-time data from IoT enabled devices or from utilitydatabases.Inthisway,FLEXMETERisreadytoaccessbothIoTdevicesdirectlyordatarepositoriesownedbyutilities.VariousdataminingalgorithmsareunderdevelopedandwillbecompletedbytheendofWP3/WP4activities.Thesealgorithms(e.g.NIALM,faultdetection,production-consumptionsynchronizer,smartdevicescheduling,storageplanning,storagemanagement)areusedtoimplementprosumerandDSOservices.

Progresseswithrespecttoobjectivesrelatedtoinnovativeservices

Concerningtheinnovativeservicesobjectoftheproject,herewereportrelevantachievementswithrespecttoDoWobjectives:

• Access to historical data is ensured by a relational database implemented inside the FLEXMETERinfrastructure.Theaggregationofdatadependsontheprosumerservices.

• Analysis tools targeted to the prosumer are under completion as part of WP4 activities and will bepreliminarilydemonstratedduringthereviewmeeting.Functionaltestsareinprogressandwillbecompletedasdatafrommeterinstallationwillbecameavailable.Thesetoolsprovide:

o UserawarenessaboutenergyconsumptionanditsbreakdownthroughNIALM(see“Userawarenessaboututilities”and“ProsumerloadprofilingandbreakdownthroughNIALM”intheusecasetableinFigure 1). A user visualization tool on a Androidmobile device has been developed. IREN is alsodevelopingacommercialversionoftheuservisualizationappfortheircustomercalledClickIren.

o Suggestschedulingofappliancestooptimizethematchbetweenproductionandconsumptionandimplement energy aggregation functionalities (see “Demand-response for network management”and“Customeraggregation for loadbalancing” in theusecase table inFigure1).Note that theseservicesarealsousedbyDSOandEnergyaggregators

• AnalysistoolshavebeendesignedtoimplementDSOservices:o Fault detection and energy thefts: An algorithm exploitingMV/LV substationmeters is ready and

testedonthesimulator(see“Outagedetectionandactuation/alarm”intheusecasetableinFigure1).Thealgorithmforenergytheftsisstillunderdevelopment.

o Storage:theconsortiumfocusedontwotypesofstorageintegrationservices:§ Storage planning algorithm, which exploits information about the electricity network

providedbythetwoutilitiestodefinetheamountandlocationofstorageelementsatgridlevel(see“EnergyStorageIntegration”intheusecasetableinFigure1)

§ Real-timestoragemanagementalgorithm,thatwasnot foreseen intheDoW. Asaresultfrom consortiumdiscussions, it has emerged as a useful component to improvenetworkmanagement (see “Demand-response for networkmanagement” in the use case table inFigure 1). This algorithm is still under design. It will possibly include the capability ofmanagingelectriccarstorage(moredetailslater).

o Network balancing: This is obtained through demand-response algorithms using imposedconsumption curves from the DSO to compute load schedules of the users. To accomplish thesetasks, various components have been developed performing scheduling and aggregationfunctionalities.


Progresseswithrespecttoobjectivesrelatedtothedemonstrationandpilots

Considering the pilots, as stated in the DoW objectives we have two pilots in the projects, located in Turin andMalmoe(ThesepilotshavebeendescribedinD1.4).Thesearetherelevantstatusupdates:

• Smartmeters fordeploymenthavebeenselectedanddeployment isongoing.PreliminarydataarealreadycomingfrommetersinbothpilotstotheFLEXMETERcloud

• Themeterdeploymentthatwillbecompletedbytheendofthesecondyear,inordertobereadyforthetestoftheservicesinthethirdyear,asplannedintheDoW

• 1PVproductionunitunderofthetwosubstationsisconsideredinHillie• HistoricaldatafromtheINTREPiDprojecthavebeenmadeavailableinFLEXMETERprojectandarecurrently

integrated in FLEXMETER cloud. These data contain consumption profiles and are used to tune WP4algorithms;

• Historicaldataofelectricityconsumption(5minsampling) fromHilliehavebeenmadeavailable for tuningWP4algorithms

TheFLEXMETERsimulatordevelopmenthasbeenpursuedinthisfirstperiod.Themainachievementsare:

• Thetworeal-timesimulatorsinRWTHandPOLITOhavebeenmadeinteroperable• Theinterfacetothesoftwarelayerhasbeendeveloped,sothatsoftwarecomponentscanbeexecutedon

topofthesimulatednetworktotestWP3andWP4services.

ThecurrentstatusofFLEXMETERprojectcanbesummarizedbytheschemeinFigure1.

Figure1SummaryofFLEXMETERprojectstatusreferringtoschemaonpage4ofDoW

Userservices

DSOservices

Otherservices

Prosumer1

HeatingMeter

WaterMeter

GasMeter

ElectricMeter

Prosumeri

HeatingMeter

GasMeter

ElectricMeter

Prosumern

HeatingMeter

WaterMeter

ElectricMeter

Buildingconcentrator

MV/LVSubstation1

ElectricMeter

MV/LVSubstationj

ElectricMeter

MV/LVSubstationm

ElectricMeter

Centralcloudsystem

•  FLEXMETERIoTpla.ormreadyoncloud(T4.6)

•  Datacollec>on,processingandanalysisfrommetersstarted(T4.1,T4.2)

•  FLEXMETERprosumerservicesdefined(WP1)•  Developmentofalgorithmsongoing:•  Energyaggregator(T4.3)•  Demand-response(T4.4)•  Loadandgenera>onforecas>ng(T4.5)•  Userinterface(T2.4)

•  DataformatsandinteroperabilitydevelopedthroughFLEXMETERIoTpla.orm(T1.3/T2.1/T4.6)

•  Specifica>onsfor:•  Network•  Pla.orm•  Dataformats•  Pilots•  Havebeen

completedinWP1

•  Gatewaycommunica>onrequirementsunderdefini>on(T2.2/T2.3)

•  Triphasemetersdevelopedandavailabletobedeployed(T3.1/T3.4)

-  FLEXMETERDSOservicesdefined(WP1)-  Developmentofalgorithmsongoing:-  Electricstorageintegra>on(T3.2)-  Faultandoutagedetec>on(T3.3)

•  FLEXMETERaddi>onalservicesdefined(WP1)

•  DevelopmentofbusinessmodelsisstartedandongoinginWP5

•  PreliminarybusinessmodeldraZcreated(T5.1)

•  Real->mesimulatorworkingandinteroperablebetweenPOLITOandRWTH(T6.1)

•  PreliminaryinterfacetoSWlayercreatedandworking(tobecompleted)(T6.1)

•  Deploymentofmetersinthetwopilotsstarted(T6.3)


1.2 Explanation of the work carried out per WP WP1-Systemspecification [Months: 1-13] � POLITO, IREN ENERGIA SPA, STMICROELECTRONICS SRL, TELECOM ITALIA S.p.A, SIVECO ROMANIA SA, E.ON SVERIGE �

WP objectives (from DoW): In this WP we will provide specification from one side about the distribution andcommunication network in general, thenwewill specify the characteristics of the twodemonstrators in Turin andMalmo.Also,thespecificationaboutthe ICTplatformrequirementswillbeprovided.Thepilotswillbedescribed indetailsaswellasthelocationofgatewaysandmeterstobeinstalled.

RevisedWP objectives:Objectives of WP1 are in line with the proposal. In addition to the planned activity, theconsortiumcarriedoutthedefinitionofFLEXMETERservicesandusecases inordertodrivethespecificationoftheplatformandcommunicationrequirementsaswellasdataformat,neededbyWP3andWP4.Becausetherewasnotspecificdeliverablerelatedtocaptureusecasespecification,aseparateusecaseworkingdocumentandanassociatedtablehavebeenproducedbytheconsortium(Figure2).TheusecasetableisalsoreportedinD1.4

InthisWP1,T1.3captureshighlevelspecifications,whilemoredetailedspecificationshavebeenperformedaspartofWP4.Inparticular,Specificdocumentsrelatedtothedataformathavebeencreated.However,theyarereportedaspart of T4.6 related to software infrastructure. At the same time, a mapping of use cases to pilots has beenperformed. Objectives of Task 1.2 (and so D1.2) have been revised in amore generalway,where communicationnetwork requirements are not longer referring to Energy Aggregator, which is one of the services provided byFLEXMETER,rathertheyhavebeendrownforalltheFLEXMETERservicesandusecases.

OverallWPprogresses:WP1activitieshavebeencompleted.Hereisasummaryofthemainachievements:

• DistributionnetworkofthetwopilotsiteshavebeendefinedandreportedinD1.1.• FLEXMETERservicesandusecaseshavebeendefinedaswellastheirmappingtopilotsites.Usecasetableis

reportedinD1.4.Aspecificusecasedocumentisalsoavailableandcontinuouslyrefinedbytheconsortium.• Fromuse cases, platformand communication requirements have been completed to be used inWP3 and

WP4 (moredetaileddata format andplatform specificationhasbeenperformedaspart ofWP3andWP4activity).TheserequirementshavebeencapturedinD1.2

• TherequirementsfortheplatformanddataformatshavebeendescribedinD1.3.ThespecificationsincludedinthisdeliverablehavebeenrefinedduringT4.6activities,wheretheconsortiumcreatedasetofdocumentstocollectinformationaboutdatatypesforeachmeterconsideredintheproject.

AspartofWP1activity,theconsortiumidentifiedanumberofusecasesandrelatedservicesbothfortheprosumerand the DSO, to be developed during the project. The services exploit one or more components or algorithmsdevelopedinWP3andWP4.

TheusecasetableisreportedhereforreferenceinFigure2:


Figure2Usecasedescriptiontable

Thetablereportsthedefinedusecases(orservices)andtheintendedusers.AfirstversionofthistableisdescribedinD1.4 (related to pilot implementation) andD1.2 (related to use case communication requirements). However, thistablehasbeenrefinedduringthelastM12and18meetings.Herewereportthefinalconsolidatedversion.

SomeoftheservicesconsiderEnergyRetailerasuser.Whiletherearenotretailerintheconsortium,thetwoDSOsintheprojectwill act as retailer toprovide somebasic specificationaboutenergyprices. Inparticular, this applies to“MarketplaceImpactandBillPrediction”and“PurchasePlanning”services.

Deliverablesandmilestones

All WP1 deliverables have been submitted (see list at the end of this section). MS1 has been achieved as allspecificationshavebeencompleted.

Taskprogresses:T1.1Distributionnetwork(resp.IREN)

IRENcoordinatedtheactivitiesofthistask,wheretherequirementsfortheintegrationofsubstationsmartmetersandstoragesweredefinedforbothMalmoandTurinDSOnetwork.AnoveralldescriptionofthecurrentnetworksandtheinvestigationofthepossibleimprovementsweresetupinthedeliverableD1.1,dueonmonth10.Thetaskiscompleted.

T1.2Energyaggregatorcommunicationnetwork(resp.TI)

TheworkofT1.2(endedinmonth13)wasmainlyconcentratedinthefirstreportingperiod,andanalyzedtheservicesand protocols proposed by FLEXMETER use cases, in order to enable efficient electricity data communication and


management among all involved entities. This analysis led also to the definition of the main characteristics andrequirements (froma communication network point of view) given byuse cases in FLEXMETERproject.Moreover,froma communication network point of view, among the differentmobile network technologies, special attentionwasdedicatedtoLTEand itsevolutions(includingNB-IoT),byconsideringthedifferentpossibleterminalcategoriesenablingefficientcommunication,fromaFLEXMETERusecasesperspective.

Thisworkculminatedon thedeliveryofD1.2“ReportonCommunicationNetworkRequirements”, thatcontainsallusecaseswithparticularemphasisonthetrafficexchangesbetweendifferentnodesandentitiesinFLEXMETER.Foreachusecaseasetofcommunicationsrequirementshasbeenderived(e.g.throughput,latency,reliability,etc...Theprojectwill use these requirements todesignand implement, forbothpilots, thenecessary technical andnetworkimprovements.

T1.3Platformrequirements,dataformatsandprotocols(resp.SIVECO)

Inthistasktheoverallplatformrequirementsanddetaileddesignweredefined.Thearchitecturalspecificationcontainsthedescriptionofthedecompositionofthesystemintotires,layers,dependenciesbetweencomponents,datastructuresandsynchronizationsbetweenthemodules.

ThefinaldeliverableD1.3describestheoverallarchitectureoftheFLEXMETERsolutionandreferstothesupportingelementsneededforfunctionality,andthearchitecturereferstothecohesivedesignoftheelements.

FurtherspecificationofplatformarchitectureanddataformathasbeenperformedaspartofT4.6relatedtosoftwareinfrastructure.

T1.4Pilotdescriptionandcharacterization(resp.IREN)

IRENcoordinatedtheactivitiesofthistask:ThemainpurposewheretosetuptheactivitiesanddemosinthetwopilotsitesofTurinandMalmo.Thetwodemositehavedifferentcharacteristicsandneeds,soavarietyofstakeholdersandconfigurationshavebeeninvolved.ThedeliverableD1.4dueatmonth10weresubmitted.Thetaskiscompleted.

WPSubmitteddeliverables:

Del. no.1 Deliverable name Lead beneficiary

Type 2 Dissemination level 3

Delivery date from Annex I (proj month) 4

Comments

D1.1 Reportonspecificationofthedistributionnetwork

IRENSpA Report Public M10 submitted

D1.2 Reportonenergyaggregator

TI Report Public M13 -submittedwithcontentrevised:The

1 Deliverable numbers in order of delivery dates: D1 – Dn 2 Please indicate the nature of the deliverable using one of the following codes: R = Report, P = Prototype, D = Demonstrator, O = Other 3 Please indicate the dissemination level using one of the following codes: PU = Public PP = Restricted to other programme participants (including the Commission Services) RE = Restricted to a group specified by the consortium (including the Commission Services) CO = Confidential, only for members of the consortium (including the Commission Services) 4 Month in which the deliverables will be available. Month 1 marking the start date of the project, and all delivery dates being relative to this start date.


communicationnetwork

deliverablecontainsrequirementsforallusecasesdefinednotonlyEnergyaggregator

-submissionhasbeendelayedofacoupleofweeks

D1.3 ReportonPlatformRequirements,dataformatsandprotocols

SIVECOROMANIAS.A.

Report Public M11 submitted

D1.4 Reportonpilotdescription

IRENS.p.A. Report PublicM10 submitted


WP2-Prosumer-sidesmartmeteringarchitectureanddevelopment[Months: 5-27] IREN ENERGIA SPA, STMICROELECTRONICS SRL, POLITO, TELECOM ITALIA S.p.A, RWTH AACHEN, UPB, SIVECO ROMANIA SA, E.ON SVERIGE �

WPobjectives(fromDoW):Theobjectiveofthisworkpackageistodesigntheportionofsmartmeteringarchitecturerelated to the building concentrators and their connection to the end usersmeters. A communication technologyexploitingamultiserviceapproachwillbedeveloped,toensurereal-timeaccesstosinglemeters.MeterswillbeseenasnetworkdeviceshavinganIPaddressandwillenabletheachievementofobjective1.

RevisedWPobjectives:Therewerenomajordeviationsconsideringtheobjectives.AccordingtousecaseandservicesrequirementsdefinedinWP1andtopilotcharacteristics,thesmartmeterstobeinstalledatprosumersidehavebeendefinedaswellastheconcentratorsandgatewaysusedforcommunicatingdatatotheFLEXMETERplatform.

OverallWPprogresses:WP activities are proceeding as planned taking into account the differences in the two pilots sites. InMalmo thehardware(smartmeterandconcentrators)isalreadyinstalledandthedistricthasbeenchosen,theSwedishdemoisalready producing some data. In Turin, on the contrary, there is the need for the installation of post fiscalmeterhardware solutions in order to enable the new FLEXMETER services both at substation and customer level. Theengagementoffinalcustomersinthesekindofprojectsisalwaysdifficult,especiallyifthereistheneedsforworksintheirhouses.ThepartnersareworkinghardinordertohavethetwodemoupandrunningforM24,asplanned.SomeprototypesinstallationsarecurrentlybeingtestedalsoinTurin,beforethefulldeploymentonthechosentesters.

Concerning the meter selection, FLEXMETER solution will be tested using different meter types that have beenconsideredbytheconsortiumviablefuturesolutionsavailableinEuropeancountries.

To test services like NIALM, meters with 1Hz sampling were required. For this reason, new meters have beencommissionedtoexternalcompaniesunderspecificrequirementsoftheFLEXMETERconsortium.Morespecifically:

- ST (STCOMET) meters (both monophase and triphase), featuring 1hz sampling capability, interface withbuildingconcentratorsofIRENandPLCenabled.Thesemetersarerealizedasprototypeboardsthatcannotbeinstalledatfinalcustomer.TheyareusedintheEnviparkdemonstratorthatisacontrolledenvironmentwheremetersarenotdirectlyaccessiblebynon-expertusers.

- BIOTECHWAREmeters for home deployment with 1Hz sampling capability, voltage measurement using aplug,WIFIinterface.Thesemetersarecommercialonesandcanbeinstalledatthecustomer.

- UNIBOmeterswith1Hzsamplingcapability,Zigbeeinterfaceandscavengingcapability.Thesemetersarestillprototypes and will be either installed in a controlled environment (Envipark) or at the final customerdependingontheavailabilityofacommercialversion

Inorder toevaluateFLEXMETERwithexistingor incomingmetering technology,additionalmetering solutionshavebeenconsidered:

- ENELSmartinfo:Thisisasolutionformakingavailabledatafromthefiscalmetertotheuserwith15minutesreportingratethathasbeenproposedbyENELinItaly.ThroughanagreementwithIREN,ENELproposedtoprovidetotheconsortium20SmartInfodevices.However,currentlytheprovisioningofSmartInfodevicesissuspendedbyENEL,assuchitisnotpossibletocontinuewiththisexperimentationatthistime.

- NewcommercialIoTenabledsmartmetersareunderinstallationatHilliewith0.1Hzsecondreportingrate

InTurin,allmetersareinstalledbyIRENinadditiontofiscalmetersatprosumerside.Ontheotherside,inHillie,thenewly installedmeters are also the fiscal ones. This is becauseHillie is anewareawereameter replacementwasalreadyplanned.

AsummarytableofthestatusofinstalledmetersisreportedinFigure3:


Figure3Statusofmeterinstallation


D2.1aboutmultiserviceinteroperabilitycapturesthesmartmeternetworkdesignsinTurinandMalmoeandhowthearchitecturalapproachofFLEXMETERanswerstointeroperabilityissues.D2.2andD2.3areunderpreparation.

ConcerningmilestonesMS2andMS3,wedonotforeseemajorissuesinachievingthemsofar.

Taskprogresses:T2.1Multiserviceinteroperability(resp.IREN)

Thetaskdealswiththeinteroperabilityofbuildingconcentratorsforthedifferentutilities(electricity,water,districtheating…)andcommunicationstandardsandtechnologies.Adetailedanalysisoftheexistingtechnologieshasbeencarriedouttakingintoaccountthepeculiaritiesofthe2demositesandthevariousservicesdevelopedintheprojectsfor the different stakeholders. The outcomes of the analysis were described in deliverable D2.1,M16. The task iscompleted.

T2.2Gateway-devicecommunication(resp.POLITO)

ThegatewaysusedforcommunicationwithdeviceshavebeendefinedandarecurrentlyoperatingtosenddatatotheFLEXMETERinfrastructure.Threetypesofgatewaysareadopted:i)BuildingconcentratorsinEnvipark(Turin),thatwillbe connectedwith electricity,water and district heatingmeters (at building level); ii) Home gateways provided byIRENthroughENNOVAassubcontractor,thatareconnectedtothemetersofasingleprosumerandarelocatedinsidehis/herhome; iii)EONconcentratorsthatareconnectedtoelectricityanddistrictheatingmetersatbuiding level inHyllie.


T2.3Gateway-controlcentercommunication(resp.TI)

InT2.3asurveyofthedifferentDemandResponsedatamodels(OpenADR,USEF,Intrepid)andthedifferentenergygatewaycommunicationprotocols (suchasMQTT,HTTPREST,XMPP)hasbeenmade inorder to identify themostsuitable approach for the FLEXMETER architecture and requirements. The set-up of a validation and simulationframeworkhasbeenprepared inorder to test the identifieddatamodelandprotocolandtoevaluatethehowtheselectedapproachaffectsthenetworkcommunicationperformancesofthegateway.

T2.4Userinterface(resp.POLITO)

T2.4, lead by POLITO, aims at developing applications for end-users to increase the user-awareness on energyconsumption. In particular, we are developing an Android application and a web portal. The target user for suchapplicationsistheprosumer.Toincreasetheuser-awareness,theseapplicationsaimatvisualizingtheoverallenergyconsumptionandproduction(e.g.photovoltaicsystems)forthedifferentutilities(e.g.electricity,water,heating,etc.).Regarding the electrical utility, they also visualize the output of the NILM algorithm, thus information about theinstantaneous and aggregated (per day, week and month) energy consumption of each appliance (e.g. washingmachine,hoven,etc.).Inaddition,theWebPortalaimsatgivingagraphicaltoolforutilityproviders,DSOor,moreingeneral,energy-technicianstovisualizetechnicalinformationregardingthestatusofthegrid.





Comments

D2.1 Reportonmultiserviceinteroperability

IRENEnergiaSpA

Report Public M16 submitted



WP3–Smartgridintegration[Months: 5-21] STMICROELECTRONICS SRL, POLITO, IREN ENERGIA SPA, TELECOM ITALIA S.p.A, RWTH AACHEN, UPB. �

WPobjectives (fromDoW):ThisWPwill focusonthedesignand integrationof“secondgeneration”electric smartmetersintheDSOsnetworks,takingintoaccountMultiutilitiesneedsintermsofpowerlinesOperation,MaintenanceandControl.Detaileddesignoffutureadd-onsandserviceswillbedoneinthisWP,withthefollowingobjectives:

• MV/LV substation smart meter integration, in order to have a detailed energy balance of the subtendednetwork and generate more focused alarms in case of faults and outages, also at LV level or in case ofoverload

• Electric storage integrations,givingDSOs thepossibility tooperate thestoragesystemsbasedonreal timedataofclientconsumptionsor/andenergydemandforecastofthepartofnetworkserved

• Faultsandoutages• Substationsmartmetercommunication

RevisedWPobjectives:ObjectivesareinlinewiththeDoW,therearetwomajorvariations.

• T3.4objectiveshavebeenupdatedandspecificallySTactivityhasbeenrevised.Thereasonforthisvariationis because the original description was related to substation to substation communication, which is notrequiredbytheservicesdevelopedintheproject.Ontheotherside,theprojectrequiredtomakeavailablenewmeters to implement thedefined services. For this reason, in T3.4 ST focusedon thedesign and thedevelopmentprototypesolutions.Theongoingdevelopmentiscompliantwiththespecificationsestablishedin T1.1. In this activity, ST provides IC devices, software framework and reference design for designing ofmonophaseandtriphasesmartmeters.TheinvolvedDSOswillintegratetheabove-mentionedpartsandwillprovide the final boards (both for residential and substation types). Protocols planned for datacommunication are kept as most as possible compliant to the standard. PLM technology and relatedfirmware libraries provided by ST are for a good part already compliant with these standards. ST is alsofocusing on the customization process of the firmware libraries and/ or hardware reference design, inaccordancewiththeoperationalrequirementscomingfromthefinalapplication.

• Activity of UNIBO in T3.1 is related to prosumer side meters rather than substation meters. UNIBO isdesigning smartmeterswith features that aremore suitable toprosumer side rather than substation side(seeT3.1progresses).

OverallWPprogresses:WP3achievementsarerelatedtothefollowingmainaspects:

• Smartmeters for substationshavebeendesigned. Thesemeterswill be installed in Turin substations. Thefollowingrelevantactivitieshavebeenperformed(T3.4):

o Choice of the base technology of the smartmeter: STOMET SoC is the core device in each smartnode, both for the client meters and the data concentrators. It is able to increase thecommunicationsignalbeyondthemediumvoltage,processingandtransmittinginformationthroughG3-PLC, improving real-time supervision of the electricity network and exploiting full FCC 500kHzband.

o Choiceof communicationprotocol: Ithasbeencompared several communicationmethods,basedondifferentphysicalmedia (fiberoptics, power line communicationandwireless communication)anddifferentnetworkprotocols(IEC61850,LTE,NarrowBandIoT,DLMS/COSEMandMetersandMore).Thecomparisonhasshownthatnosingleprotocol issuperior inallaspects.Theseanalysisandcomparisonhaveshown,however,thatPLCandIEC61850clearlyoutperformtherest.Forthisreason,takingintoaccountthedemonstratordescribedinFLEXMETERdeliverableD1.4“Reportonpilots description”, PLC technology was chosen, whose implementation using PLM (Power Line


Modem)will bedescribed later in thenextprogressive report, as soonas the specificationof thefinalSmartmeterwillbefinalizedandvalidated.

o DevelopmentoffirmwareandfinalprototypeboardtobedeployedinTurinpilot.

• Unobtrusiveandenergy-neutralsmartmetersfromUNIBOareundercompletion.

• AnalysisanddevelopmentofalgorithmstoimplementDSOservices:

o OutagedetectionandlocationinLVnetwork(T3.3)o FaultlocationinMVnetworks(T3.3)o Networkmanagementforloadbalancing(T3.2)

The storage integrationwork developed in T3.2will be exploited togetherwith results of T4.3work about EnergyAggregator to implementservices forboth theprosumerandtheDSO,as reported inFigure4related toWP1usecasedefinition.

ThefollowingscenarioresultedfromagreementamongWP3partnersfortheTurinpilot:

Figure4.ScenarioofSTsmartmetersinstallation.

STmeterswillbeusedtocommunicatethroughPLCwiththeIRENconcentratorsintheEnviparkbuildings.Inasimilarway,STtri-phasemeterswillbeusedinsidesubstations.BIOTECHWAREandUNIBOprototypemeterswillbeinstalledinsideprivatehouses(notshownhere).


D3.1reportstheoverallsubstationmeterintegrationmethodology.Detailsofspecificimplementationofmetershavebeen given in D3.3. On the other side, D3.2 will report the details about fault/outage and storage integrationalgorithms.

MS4 concerns the implementationof smartmeters for the substation. Thismilestone is delayedbecause tri-phasemeterswerenotavailableatM12.TheywillbeavailablebyM24.ThisdelaydonotcauseproblemstootherWPsortasks,becausethedeploymentofmetersinsubstationswillbecompletedbyM24,ontimefordatacollectiontostart.


Taskprogresses:T3.1Substationsmartmeterintegration(resp.IREN)

Thetaskdealswiththeinstallationandexploitationofelectricenergysmartmetersinsecondarysubstationsofthe2DSOnetworks.WhileMalmoDSOnetworkalreadyhasseveralmetersinstalled(andadditional350willbeinstalledintheFLEXMETERcontext),TurinnetworkwillexploitFLEXMETERprojecttodesignand install tri-phaseelectricsmartmeters in some of its secondary substations. The prototype smart meters will be designed and assembled by STMicroelectronicsandwillbebasedonPLCcommunicationsystem.ThedeliverableD3.1hasbeensubmittedandthedeliverable is completed. Somedelays isoccurring in thedevelopment of thehardware solution tobe installed inTurinsecondarysubstation. InHyllie,twosubstationswillbefinallyequippedwithmeters.Currentlyonesubstationhasinstalledmeters.

InTask3.1,UniversityofBolognahasdeveloped twoprototypeof low-costandunobtrusive smartmetersdevices,which canbe installedandpluggedaroundcablesundermeasurementwithoutanyelectrical service interruptions.OneprototypeisequippedwithWiFiinterfaceandcanperformcomplexon-boardprocessing.IthasbeendesignedtoexecutethecomplexNILMalgorithmsenvisioned inWP4.Thesecondprototype isdevelopedtobeenergy-neutral,and to operate unattended for years without any battery and without supply from themains. In fact the energynecessaryformeasuringandsendingdatawirelesslythroughZigbeestandard,isharvestedbythecurrentconsumedbytheloadundermeasurement.

T3.2Electricstorageintegration(resp.UPB)

Thetaskisrelatedtotheopportunityofcommissioningadditionalstorageinthecaseofanexistingnetworkinwhicheither the loads or the generation profile evolved as to impact the voltage profile. (as is the case of the twoFLEXMETERpilots).Onlyelectricalstorageistakenintoaccountanddifferentscenariosinvolvingthenewlyinstalled(intermittent,RES-based)eenergysourcesarestudied.AsaresultofthistaskaCBAtoolisdevelopedastocomparestoragesolutionagainstnetworkreinforcement

Inputs for the tool include: the grid topology, typical generation and consumption curves, a comprehensive set ofcharacteristics for different electrical storage solutions (including costs). The output of the tool will consist on arecommendationconcerningthepossibilityofcommissioningadditionalstoragemodulesandthemostappropriatedsolutionfrombothtechnicalandeconomicalperspectives.

Inside this task a dynamic energy storage manager is under development. This algorithm manages the chargedischargeoperationsofabattery.Thefieldofevaluationofthisengineisthereliabilityofthenetworkwherebatteriesequippedwithsuchadeviceareinstalled.Forthisreason,wehaveimplementedasimulatorabletoproducerandomscenariosofbuildings’energyrequest,renewableandnon-renewablecentralproduction.Inthisnetwork,weinstalleddifferent types of batteries characterized by different policies. The standard type of battery implements an easypolicy:givenanenergythreshold,ifitsinternalenergyisbelowthenthebatterystartstochargeuntilitreachesthefullchargeoruntil someeventstopsthechargeoperation.Thenetworkwiththesebatteries installed improves itsstabilitybecause it is able to store theoverproduction.Thenext stepsare to runmore simulationsand todevelopother kinds of batteries that, by using the knowledge of the actual state of the network, try to minimize theprobabilityofblackout.Alltypesofbatterieshavethecapabilitytoupdatetheirpolicyrelativelytotheenvironmentalconditions.Thisalgorithmwillbetestedonthereal-timesimulatorusingconsumptiondataprofiledfrommetersinstalledinthepilotandusingstoragelocationinformationcomputedbythestorageplanningmodule.Thedeliverablerelatedtothistask(togetherwithT3.3)isdueinMonth21oftheproject(endofSeptember2016).

T3.3Faultsandoutagedetection(resp.POLITO)

T3.3aimstodesignofanalgorithmforfaultdetectionontheDSO’snetworkandattheuser’slevel.Astheoutput,itprovidesaneasytounderstandoverviewoftheMVandLVnetworkstatus,and,incaseoffaults,analarmindicatingtheportionofnetworkandusersde-energized.Astheapproach,analgorithmshouldgetasinputthemeasurements


from the networkmetering system and from the users’meters. Itwill integrate these data together andwith thealready available data from theHV/MV stations. The analysis of these integrated datawill allow for providing therequiredoutput.

To achieve the objective of T3.3 considering the expected output, different terms in outage diagnosis andmanagementintermsoffaultandoutagedetection/locationaredefined.

Theprocessofdetectionof theoccurrenceofa fault (permanentor transient, iscalled faultdetection (Figure5a),whileoutagedetection refers to theprocessofdetectionof theoccurrenceofanoutageduringapermanent fault(Figure5b).

Figure5Faultdetection(a)vs.outagedetection(b)

Outage location includesacombinationof techniqueswhichareappliedto findtheoutageareaandtheprotectivedevices involvedinfaultclearing(Figure6a).Andfinally, findingthe locationofthefaultsthatcausedtheresultingoutagesituationiscalledfaultlocationFigure6b).

Figure6Outagelocation(a)vs.faultlocation(b)

Continuity of service in general depends on our system and its equipment for protection, switching, etc., and thenumberanddurationoffaults.Toimprovethecontinuityofservice,weshouldeithermoreoradvancedequipmentorbettermanagethefaults.


At themoment,most DSOs use customer calls to detect and locate the LV network outages. After detection andidentificationoftheoutagearea,fault locationinMVandLVisnormallyperformedby inspectionbytheoperators.Thisprocesshasthefollowingdisadvantages:

• Duringthenightstherewouldbealittlenumberofcustomercallswhichmakestheoutagedetectionprocessdifficultorimpossible.

• Falseorfakereportsarehardtorealize.• Thewholeprocessistimeconsumingandinefficient.

IntheFLEXMETERprojectnewmeterswillbeinstalledattheuserlevelandinMV/LVsubstationatthebeginningofLVfeeders.Thankstothedatameasuredbythesedevicesitispossibletoenhancetheoutagedetectionandlocationandperformitwithnoorlittlehumanintervention.

Threelevelsofservicecanbeimplemented,dependingonthecapabilitiesofthemetersandonthecommunicationnetworkperformances.Theywillbelistedinincreasingperformanceandrequirementsorder:

A) LVOutagedetectionandoutagelocation

Incaseofoutage,allthemetersintheoutageareadetecttheabsenceofvoltageandsenda“lastgasp”signaltothecloudsystem.Noparticularstringentrequirementsareneededfromthecommunicationnetworkpointofview.Themainissueisthatthecommunicationnetworkshouldworkalsoinapoweroutagecondition,thankstoaUPSsystem.Mappingthereceivedsignalsfromtheusermetersresultinoutagelocation.

B) LVFaultlocation

After the detection of the outage and the identification of the area affected by the outage itself, thanks to themeasurementsatMV/LVsubstations,itispossibletodesignanalgorithm,toidentifythefaultlocationontheLVlines.ForthispurposethemetersintheMV/LVsubstationfeedingthefault,shouldsendthecurrentandvoltagewaveformorduring-faultphasorsimmediatelyafterthefaultdetection.Alsointhiscasenoparticularstringentrequirementsareneededfromthecommunicationnetworkpointofview.Theamountofdatatobesentisquitesmallandtherearenostringentlatencyrequirements.Evenifthedataarrivetothecloudsomesecondsaftertheevent,itwouldbemuchfaster than with conventional fault location methods. Also in this case the main issue is that the communicationnetworkshouldworkalsoinapoweroutagecondition,thankstoaUPSsystem.

C) MVFaultlocation

TheHV/MVsubstationsarealreadyequippedwithvoltageandcurrentmeasurementsforthepurposeofprotection.MVnetworkfaultlocationisanadditionalfeaturewhichcouldbeimplementedisHV/MVsubstationsorinthemaincontrolcenter. In the firstcase just the fault location is reported,while in thesecondcase thevoltageandcurrentwaveformsortheircalculatedduring-faultphasorshouldbesentfromtheprimaryHV/MVsubstationtothecloud.Therequirementsfromthecommunicationnetworkpointofviewarethesameofthepreviouspoint.

CompletedSteps:

Regarding faultsandoutagesusecase indistributionsystems, therecouldbespecifically8 usecases, listedbelow,howeversomeofthemareneitherinterestingfortheownerofusecase(DSO),noreconomicallybeneficial.

Allpossibleusecases Implementation/Consideration/ProposalOutagedetectioninMV Fromcircuitbreakersstatusand“lastgasp”messagesfrom

availablesubstationmetersOutagelocationinMV Fromcircuitbreakersstatusand“lastgasp”messagesfrom

availablesubstationmetersFaultdetectioninMV AutomaticallydonebyprotectionrelaysFaultlocationinMV Introducedin(C)OutagedetectioninLV “lastgasp”signalfromusermeters(A)


OutagelocationinLV Mapping“lastgasp”signalsofusermeters(A)FaultdetectioninLV AutomaticallydonebyfeederprotectiondevicesFaultlocationinLV Itisnotcost-beneficial,anditsrequirementscannotbemet

fromexistingmeters.However,thesameproposedalgorithmsforfaultlocationinMVcanbeappliedinLV.

ImplementationoffaultlocationinMV:

Regardingthemethodologyforfaultlocationindistributiongrids,MVandLVarethesame.However,faultlocationinMVismoreinterestedandbeneficialinMVgrid,asalargernumberofcustomersmaybeaffectedbyapoweroutagein MV. POLITO proposed an impedance-based fault location method for its accuracy and minimum requiredmeasurement.ThismethodatleastrequirethephasorsorsamplesofvoltageandcurrentrecordedattheheadofthemainMVfeeders(HV/MVsubstation)andDGterminals(pre-andduringfault);activeandreactiveconsumptionsorforecastedloadsforMV/LVtransformers;andnetworkdataintermsoftopologyandlineimpedances.AsFLEXMETERsmartmeters are not installed at theprimary station level, only existingmeasurements couldbeused for this usecase.However,duetolackofcommunicationsystemtoretrieverealtimepre-andpost-faultdatafromoneside,andlimitations of network data accessibility, we demonstrate the proposed method and communication architecturethroughsimulation.

Forthesimulation,weperformtestsandvalidationsusingrealtimesimulation,becauseit isahighreliablemethodbasedon electromagnetic transient simulationwhich can provide a virtual environment of the real systemswherenew control strategies (e.g. fault location) can be tested ex-ante before implementing in the real world providingtrustable real-like informationon impacts andbenefits. This kindof simulation for testing and validationproposedalgorithmsreducescosts,enablesmorecompleteandcontinuoustestingof theentiresystemwithout interruption,safelyunderpossiblydangerousconditions,andwithmanypossibleconfigurationswithoutphysicallymodification.

Weimplementedanintegratedarchitectureofsimulationtoconnectthevirtualmodelofgridrunningonarealtimesimulatorwiththefaultlocationalgorithmrunningonanothersystem.Thisemulateswhatweproposeinrealworld:retrievingsmartmeterdataandsendingtoafaultlocationcentralsysteminacloud.

ThearchitectureisanimplementationofanInternet-of-Thingstofacilitatesoftwarein-the-loop(SIL)andhardwarein-the-loop(HIL)tests.

A demonstration of the proposed architecture was presented in a paper, applying it to test of a fault locationalgorithminaportionofTurindistributionsystemmodel.Theimplementedplatformisflexibletointegratedifferentalgorithmsinaplug-and-playfashionthroughadesignedcommunicationinterface.TheportionofdistributionsystemusedinsimulationconsistsofaprimarysubstationwiththreeMV-22kVbusbars,eachofwhichisfedbyatransformercharacterizedbyvoltageratioof220/22kV.Thereare5MVlinesstartingfromtheHV/MVsubstationsupplying40MV/LV transformers, and totally 49 branches. The real-time platform RT-LAB® developed by OPAL-RT® is used forsimulatingthedistributionsystem.ThegridmodelisdevelopedinMatLabSimulink®(SimPowerSystemtoolbox)withsomeArtemislibraryblocksfromOPAL-RT.Toexecutethemodelonthereal-timesimulator,afixedsteptimeof50µsis selected for electromagnetic transient studies. The sampling time step to get snapshots of system status andmeasurements(reportingrate)issetas250µs.

The fault location algorithm used in this demonstration exploits only one measurement device in secondarysubstations in addition to the voltage and current provided by digital fault recorder installed at the head of thenetworkmainfeeder.Itstartsfromthefirstlinesection(branch),anditerativelysolvestheequationsdescribingfaultsteadystateconditionforallnetworklinesections,onebyone,toestimateallpossiblefaultlocationsandtherelatedfault resistancevalues.Then, foreachpossible fault location, themethodapplies the faultwith theestimated faultresistanceandselectsthefaultlocationwiththeminimumdifferencebetweenthecalculatedandmeasuredvoltagesagatasecondarysubstationasthecorrectsolution.


Thefaultlocationapplicationreceivestherequiredmeasurementsthroughthecommunicationarchitectureandfindsthe location of distribution primary network fault. The visualization application is aimed to constantly analyze andprepare the demanded measurements for the supervisor. The supervisor monitors the network and theinteroperabilityofmultipleapplicationsandalgorithms(Figure7).

Figure7Theimplementeddemooftheproposedarchitecture

OtherdevelopedfaultlocationmethodsforFLEXMETER:

Combined Method: Based on different available measurements in the FLEXMETER project, we made somequalitativelyandquantitativelycomparisonsamongdifferentfaultlocationmethodstofindthemostappropriateonebasedontheFLEXMETERinfrastructure.Finally,acombinedmethodasahybridsolutionisproposedtoovercomethedrawbacks of thepreviously proposedones,while keeping their advantages. Theproposedmethod always reportsonelocationforeachfaultscenarioandconstantlyprovidesaccurateresults.

Basedonthepresentedresultsanddiscussions, impedance-basedmethodshaveaccuratefault locationresults,butthey report multiple locations for a single fault. On the other hand, the methods based on sparse voltagemeasurementsdonothavethemultipleestimationproblems,buttheyaresensitivetomeasurementerrorsandtheiraccuracyis limitedtothenearestnodetofault location.Thecombinedmethodcanovercomethedrawbacksofthepreviously proposedmethods, while keeping their advantages. The proposed combinedmethod first performs animpedance-based algorithm to find the possible locations for fault and the related fault impedance values. It thenapplies the fault at each point reported by the impedance-basedmethodwith the calculated fault resistance andinvestigatesthesimilaritybetweenthecalculatedvoltagesagsandmeasuredvoltagesagstofindthecorrectsolution.

In FLEXMETER project the meters in the MV/LV substation should send the during-fault current and voltagewaveforms or phasors immediately after the outage detection. The proposedmethods then can use theMV sidevoltages, which can be calculated using the availableMV/LV substationmeasurements.Methods based on sparsevoltagemeasurements,becauseoftheirmeasurementrequirements,arenotapplicabletotraditionalnetworks.

Theproposedmethodisdesignedtoworkwithonlyonemeasurementdevice inadditiontosubstationvoltageandcurrentmeasurements.Therefore, it requiresvery little investment tobe implementedonany traditionalnetwork.However,increasingthenumberofmeasurementscanimproveitsreliability.

Fast Fault Location:Distribution systemsare evolving towards fault self-healing systemswhich canquickly identifyandisolatefaultedcomponentsandrestoresupplytotheaffectedcustomerswith littlehumanintervention.Aself-healingmechanismcanconsiderablyreducetheoutagetimesandimprovethecontinuityofsupply;however,suchanimprovementrequiresa fast fault locationmethodandalsoacommunicationandmeasurement infrastructure.Westudiedthefeasibilityoffastservicerestorationthroughafastfaultlocationmethod.Afastfaultlocationmethodisproposed which is applicable to any distribution network with laterals, load taps and heterogeneous lines. Theperformanceoftheproposedmethodisevaluatedbysimulationtestsonareal13.8kV,134-nodedistributionsystem


under different fault conditions. We show that the communication delay plays a less important role in overallrestoration time, andwe stress the contributionof a fast fault locationmethod in keeping theoverall interruptiontimelessthan1minute.

NextStep:DemonstrationofafaultlocationapplicationinMVsystem:

AportionofTurindistributionsystemconsistsof5MVfeedersderivedfromSturasubstationisbeingsimulatedusingarealtimesimulator.Afaultlocationalgorithm,receivesthefaultdata(pre-andpost-faultmeasurements)fromtherealtimesimulatorassoonasafaultistriggeredintheMVgrid.Itthenpopsoutsomesortofmessagesindicatingthelocationofthefaultinthegrid(i.e.whichbranchofwhichline,andthedistantfromtheclosestsubstation).

T3.4Substationsmartmeterintegration(resp.ST)

Wereporthererelevantupdatesoftheworkperformedthatarenotincludeinsubmitteddeliverables.Thisworkwillbe reported in D3.3. Starting from ST-EVALBOARD: EVLKSTCOMER10-1, ST developed solutions for Smart Meters,Concentratorsbothatdwellingandsubstationlevel.

Moreover, atdwelling level, STdevelopedanadapterboard, able tomanage the3phasespresentat thebuilding.ThisboardwasconceivedforFlexmetergoalsanditcanbeplugandplayin1-phaseSTConcentrator.Aswesaidthetechnologycanbeusedbothasmeterandconcentratordependingonthefirmwareinstalled.

InFLEXMETERcontextwedemonstratedtheabilitytobuildacompletenetworkbasedonSTCOMETTechnology,bothbuildingandsubstationlevel.

BUILDING

TheconcentratoriscomposedofanIRENandSTintegratedboard.Itcollectsdata(sampledpersecond)thatwillbeaccumulatedinamemory.ThedatainmemorywillbesenttotheCentralSystem,withafrequencytobeevaluateddependingontheparameter.

SUBSTATION

TheconcentratoriscomposedofanIRENandSTintegratedboard.Thedata(sampledpersecond),willbestoredinmemoryandsent,todifferentfrequency(dependingonthedata):forexample,somedatasentwillbesenttoCloudattheendoftheday.

Howtorealizea3-phasesolutionstartingfromSTCOMET

The STCOMETdevelopment kit (Figure8) provides an SPI interface (J2 connector) and general purpose signals (J3connectorinredcircle)ontheLCDmodule.

Figure8STCOMETdevelopmentboard

Thosestripconnectorsareavailable forconnectiontoSTPM34metrologyboards inordertobuilda3-phasemeterdevelopmentkit.

InthismannerweareabletobuildaSubstationSM-3PHasreportedinFigure9.


Figure9STCOMETtri-phasemeter

HowtorealizeaMeterConcentrators:Buildingside

OnceagaintheFlexibilityofthistechnologyallowustorealize(sameSTCOMETevaluationboardboththeSMsandintheConcentrator)intheabovescenario(Figure10).

Figure10STCOMETconcentrator.


Figure11STCOMETconcentratorconnections.

TheConcentratorisobtainedstartingfromSTCOMETevaluationboardandadaughterboardcapabletohandlethePLCforthe3-phases(Figure11).

Firmware:

StartingfromasimpleexampleofcommunicationontheLCD,werealizedabasic(forthetimebeing)butcompletefirmwareofcommunicationonPLC.(PleaserefertoD.3.3forfurtherinformation).Thefirmwarecustomizationiscomposedbythefollowingfeatures:

1) Networkcreationandmanagement2) SimpleHOST(IREN)–CONCENTRATOR(ST)communicationprotocol3) UniqueIdentificationNumber(UIN)foreachdevice4) MetrologicalDataSampling@1Hz

ThisisapreliminaryversionoftheFLEXMETERapplicationplatform.Asecondreleasewillbeneededoncetheworks,thatarestillongoing,willgivesomefeedbackwithresultsinEnvipark.Suchresults,dependingonthevalidationofthepreliminaryboards,arenecessarytocompletethespecificationofthefinalSmartMeters.



Type 10

Dissemination level 11


Comments

D3.1 ReportonSubstationsmartmeterintegration

IRENSpA Report

Public M12 -submissiondelayedtoM13

D3.3 Reportoninterfacedesignbetweenenergymetersandthesubstation

STMicroelectronics

Report

PublicM14 submitted


Transfor

L1,

L2,

L3,L3,N

L1,N

L2,N


WP4–Smartmeterservicesanddatamanagement[Months: 7-33] TELECOM ITALIA S.p.A, POLITO, IREN ENERGIA SPA, RWTH AACHEN, INP GRENOBLE, UPB, SIVECO ROMANIA SA, UNIBO �

WPobjectives(fromDoW):InEurope,thegrowingvariabilityofenergyproduced,self-producedandconsumedleadstotheneedflexibilityintheelectricitysystem.FlexibilityonthedemandsidecouldbeusedbytheEnergyAggregatorstooptimizetheirportfolioaswellasbysystemoperatorsforbalancingandconstraintsmanagementpurposes.TheEnergyAggregatormodelhereproposedisthecombinationofvalueprovidedtocustomersandthereciprocalvaluereceivedfromcustomersinreturn.Inthiscontext,theEnergyAggregatormodellingofferstheopportunitytoevaluateandsubsequentlyexploitthepotentialflexibilityofsmallercustomers.

RevisedWPobjectives:WP4objectivesareinlinewiththeDOW.HoweverwenotethatthedescriptionofobjectivesreportedintheDoWisnotcomprehensiveofallWP4activities,whichincludealsodemand-response,loadandgenerationforecasting,developmentoftheIoTsoftwareplatform.

OverallWPprogresses:DuringthefirstreportingperiodtheWP4activitiesinvolvedthedefinitionoftheEnergyAggregator(EA)architecturein itskeycomponentsandthe implementationof theorganicviewof theEAservices.Specifically, theselectedusecaseshavebeenaddressedthroughtheimplementationofthefollowingcomponents:

- Demandresponsecomponent(leveragingonthealgorithmsdevelopedtothispurpose);- Demandsidemanagementcomponent:asystemtocollectdistrictpowerprofilerequirementsandproviding

schedulesbasedondifferentdevicesusagehavebeendevelopedandintegratedintheplatform;- Loadandgeneration forecasting components: radiation forecastingand load forecasting componentshave

beendevelopedinordertoprovideforecaststotheEA;- Software platform developments: in order to manage the interconnection of the EA components a

platform—based architecture has been implemented in order to interconnect the different building blockdeveloped.


D4.1toD4.5areunderpreparation(M22).Nodelaysareforeseen.MS6onM22isinlineaswell.

Taskprogresses:T4.1Electricenergyconsumptiondataanalysis(resp.IREN)

The taskmainly focuson thedataanalysisofdatacoming fromthe field,meaningboth theDSOnetworksand themultiservicesmartmetersinstalledatfinalcustomerspremises.Energyconsumptionevaluationsoftheavailabledatawill be carried out or used to implement new services (energy forecasting models, storage installation, faultdetection).WhileinMalmomostofthedataarealreadyavailable,Turinpilotsneedstoinstallnewhardwarebothatsubstationandcustomerlevelssodatawillbeavailablesoon.Thetaskisongoing.

In T4.1 UNIBO has started the development and the verification of a new type of lightweight Non-Intrusive LoadMonitoringalgorithmcapabletorundirectlyonthemeteringdevice.Thiswas,thedatabandwidthnecessarywirelesscommunication is remarkable reduced (ordersofmagnitude)withoutaffecting theaccuracyof the singleappliancedetection and identification. The performance achieved on Matlab simulation is about 95% for some type ofappliancesand lower forotherscharacterizedbynon-linearconsumption(e.g.Switchingsupplier).ThedetectionofON andOFF events and the classification is quite immediate (some seconds from the event for a large variety ofloads).CurrentlytheactivityofUniversityofBolognaisonportingthealgorithminaefficientfirmwareforthesmartmetersdesignedinWP3.


T4.2Real-timedataprocessing(resp.UNIBO)

IntaskT4.2,theactivityhasbeendedicatedbythepartnerstodefineasetofinterestingsignalprocessingalgorithmstouseinFLEXMETERdevicestoassessthepowerqualityoftheelectricalsystemandofthepowermeasuredbythemeters.In detail partners added value to the meter by implementing processing engine which executes in-situ on themeasuring system. One of these algorithms is the frequency analysis which sun on top a ultra-low powermicrocontroller used as smear meter in FLEXMETER and designed by University of Bologna. Due to the limitedcomputingcapabilityitcalculatesuptothe7^harmonic,andcanadaptthesamplingfrequency.Moreover,efficientTRUE-RMS algorithms have been implemented as features extracted by the signals. Currently the effort is inenhancing the meters with measurement of the micro-interruptions and with Non Intrusive Load Monitoringalgorithms.T4.3Energyaggregator(resp.TI)

DuringthefirstreportingperiodtheT4.3activitiesinvolvedthedefinitionoftheEnergyAggregator(EA)architecturein itskeycomponentsandthe implementationof theorganicviewof theEAservices. In this task thedemandsidemanagement component has been developed and integrated in the EAwhile the different algorithms forDemandresponseand loadandgeneration forecastinghasbeen integrated.Moreover,adefinitionofanEnergyAggregatorAPIhasbeenprovidedinordertoallowtheuseofEAservicesfromthirdpartiesstandpoint.AUserInterfaceforEAhasbeenalsodevelopedinordertoshowthefunctionalitiesoftheplatformandtodemonstratetheservices.

ExploitingthealgorithmsdevelopedintheotherWP4tasks,thefollowingcomponentshavebeendeveloped:

• DREAM(DemandREsponseAnalysisMachine):DREAMreceivesandelaboratesdatapacketswithinformationabout the average energy consumption of different appliances, recorded, day by day, in several housesduring the whole day. DREAM has different receiving channels: from one publishing subject (houses,simulators,pilots)itcangetdatapacketsonenergyconsumption.Throughanotherpublishingsubject(DSO,etc.) it acquires the indication regarding the action tobeperformed (reduceor increaseenergy) and thenfixesafinalconsumptiontargetaccordingly.WhenDREAMreceivesarequestforenergyvariation(increaseordecrease), itevaluates thedifferentscenariosshowing thenumberof loads thatshouldbeshifted fromoneperiodtoanotherduringtheday.DREAMisalsoabletoacquireasetofdataonenergymarketprice,comparing the profits resulting from the current two-rate tariff with those of eventual new price ranges(plannedinthefuturethefreemarket),identifyingwhichtariffprofileismoreprofitablefortheendusers.

• Demandsidemanagementcomponent (DSM):Thecomponent related toenergy schedulingofdeviceshasbeen implemented within the Energy aggregator architecture; it receives data related to applianceconsumptionsfromtheIoTframework,detectsuserhabits,takesthedesiredcumulatedpowerprofilefortheenergydistrict,andgenerateproposedscheduleforappliancewhichbalancestheuserhabitswiththeutilityrequests(desiredcumulatedpowerprofileforthedistrict);

• Demandresponsecomponent(DR):Theactivityisrelatedtotheintegrationofthedemandresponselibrarydeveloped by PoliTO into the Energy Aggregator framework; the DR component is able to check the DRevents coming to the Energy Aggregator and select the building units and the devices that need to bedeactivatedinordertofulfilltheDRrequest,minimizingdiscomfortfortheusers;

EnergyaggregatorAPI,EnergyaggregatorUIandframeworkimplementation:TIdevelopedjointlywithPOLITOtheAPIanddefinedtheUIforthedemonstrationoftheDSMandDRfeaturesoftheenergyaggregatorplatform.

T4.4Demand-responsealgorithms(resp.POLITO)

Theactivityinthistaskwasdevotedtotheimplementationofademand-responsemoduletobeusedinsideWP4usecasesdefinedinWP1.Themotivationisthatdemandresponseprogramscanleadtosignificantbenefitsforbothendusers and utilities by a more efficient management of the energy consumptions. Energy providers could bettermanagethepeakdemandsandbettersatisfytheaggregateddemandcurve(i.e.avoidingblackoutsduetohighpeak


demand).Infacttheuseofadditionalplantstofacepeakdemandcouldbereduced,hencedecreasingtheproductioncostsandreducingtheriskofjeopardisingthereliabilityoftheinfrastructuresystems.

Activities performed during the period have been devoted to develop an algorithm able to select and shut downapplianceswheneveraDemandResponseeventforoverallexceedingenergyconsumptionisidentified.Thedepictedproblem is tackled as a combinatorial optimization problem and in particular as a “knapsack-like” problem. Thesolutionapproachisbasedonatwo-stagegreedyalgorithmspecificallydesignedforthisapplication.Thedevelopedalgorithmworksinthefollowingway:onceaDemandResponse(DR)eventhappensthemodulereadsinallworkingappliances’startingtimesineverybuildingunitsconsideredinthespecificscenarioandcalculatestheoverallenergyconsumption from the DR event timestamp on to a desired time horizon (ex: 15, 30 or 60 minutes). This task isaccomplishedknowingappliances’powerprofilesfiledbytheEnergyAggregator.Asaninput,thealgorithmalsotakesa desirable (feasible) cumulative energy consumption thus it is able to calculate the total amount of energy thatshouldbecutoffviaappliancesshutdown.Thealgorithmthenordersbuildingunitsandselectstheonesprovidingthe leastglobaldiscomfortforenduserswithaglobalenergysavegreaterthantherequestedcutoff.Amongthoseselectedbuildingunits,thealgorithmthenselectstheminimumsetofappliancesprovidingagaintheleastdiscomfortforendusersbutguaranteeingthat thecutoff threshold is respected.Thealgorithmfinallyoutputs theshutdowntimestamponlyforappliancesinvolvedinthecutofftorestoreafeasibleenergyconsumption.

T4.5Loadandgenerationforecasting(resp.TI)

DuringthefirstreportingperiodtheT4.5activitiesinvolvedtheimplementationandpreliminaryvalidationofloadandgenerationforecastingtechniques.Besidesreviewingstateofthearttheactivityfocusedontheuseofdeepneuralnetworkstrategiesinordertodefineaccurateforecastingmethodologies.Aboutproductionforecastingtheworkhasbeen focused on the radiation forecasting in order to be able to apply themethod in a general way to differentbuildings and different solar plants, through the use of models in order to convert the forecasted radiation intogeneratedpower.

T4.6Softwareplatformdevelopment(resp.POLITO)

During the first reporting period the T4.6 activities involved the definition of the overall FLEXMETER architecture(Figure12).

Figure12FLEXMETERsoftwarearchitecture

FLEXMETERisathreelayersoftwarearchitecturewith:


• DeviceIntegrationLayer• MiddlewareLayer• ApplicationLayer

TheDevice IntegrationLayer is the lower layerof theproposed infrastructure. ItabstractsdifferenthardwaredatasourcesleveraginguponentitiescalledDeviceIntegrationAdapters(DIA).ADIAconvertsthemeasurementscomingfromthedevicestotheFlexmeterDataFormatandsendthemtothecloudinfrastructureviaMQTT.Inaddition,wedeveloped a specific DIA to integrate Real-Time Digital Simulators, such as RTDS and Opal RT, into the Flexmeterinfrastructure.

TheMiddlewareLayeriscomposedbyseveralsoftwarecomponentsactingtogetherto:

• AllowMQTTcommunicationwithDeviceIntegrationAdapters• Receive,controlandstoremeasurementmessages• ProvideRESTAPIstoaccessdata,devices,assetsandmaintenanceoperations

The Message Broker provides an asynchronous communication through MQTT. This approach decouples networktraffic between information producers and consumers increasing the scalability of the whole infrastructure. TheMessageBrokerisalsoinchargeofroutingalleventstotheCommunicationEngine.In itscore,theCommunicationEngineconsistsofothertwocomponents:

• EventSources• InboundPipeline• OutboundPipeline

The Event Source (ES) receives messages from theMessage Broker, checks the integrity and push them into theInboundPipeline. InboundPipelinemanagesmessagenetwork traffic spikes to relieve thedatabase interface fromcongestionandtoensurethemeasurementsstorage.OutboundPipelinemanagedevicecommandrequestsandsendthem to the different Command Destination. Command Destinations (CD) send command to the different devicethroughMQTT.

DataStorageisaninterfacedesignedtointegratedifferentnonrelationaldatabasemodels(e.g.document-orientedortimeseries).Thisapproachhelpsinscalabilityandclusterizationkeepingindependentthecloudinfrastructurefromthe low-level database management systems. Device Management handles the interactions between devices andApplicationLayer.AssetModulesmanagesdifferent informationregardingpeople,placesandthingsthatarecalledassets inFlexmeter.Themainasset representsphysical locationofelectric smartmeters. It containsallof thecoreassetmanagementcallsincludingCRUDmethodsforassetcategoriesandassets.Finally,RESTAPIInterfaceManagerprovidesRESTAPItoaccessinformationandmanageentitiesordevicesintheinfrastructure.AllRESTcallsaresubjecttoauthenticationtocheckiftheuserisauthorizedinperformingoperations.

TheApplicationLayerofferstheinterfacefordifferentapplicationstodesigncomplexservices.Forinstance,DataandEnergyAggregatorscanapplyDemandSideManagementandDemandResponseprogramsonspecificportionsofthenetwork.StateEstimationAlgorithmcanenablenearreal-timemonitoringofthesystemheremeaningthemonitoringoftheoperatingconditionsofthegridwithadelayintheorderoffewseconds,allowingsecurity,reliabilityandefficiencyorientedmanagementofthegrid.

WPSubmitteddeliverables:None


WP5–Businessmodels[Months: 13-36] POLITO, IREN ENERGIA SPA, TELECOM ITALIA S.p.A, UPB, SIVECO ROMANIA SA, E.ON SVERIGE �

WPobjectives(fromDoW):TheobjectiveofthisWPistoprovideacompleteanalysisofthebusinessmodelsandmarketforthenewsmartmeterarchitecturedevelopedinthisproject.Specificattentionwillbepaidtoanalysisofcostsfortheusers.

RevisedWPobjectives:ObjectivesareinlinewiththeDoW.

OverallWPprogresses:WP5startedonM12.DuetoaninternalchangeofroleofJRC,wehadsomedelay inthestartingofWP5activities,duetotheneedoffindingexpertiseinbusinessmodels.Wefinallydecidedtoincludeanewpartnerasthirdpartyinkind,thatwillbeoperationalinthesecondperiod.Forthisfirstperiod,IRENandPOLITOworkedtogethertodefinebusinessmodels for FLEXMETER. Themodelunderdefinition foreseesa FLEXMETER companyproviding services toDSO and prosumers exploiting the innovative services and technologies developed. A business plan is underconstructionandpreliminaryresultswillbereportedatthefirstreviewmeeting.AspartofWP5activities, foreachusecaseandservicewewilldefineabusinesscase.Thisactivityisinprogress.


Deliverablesandmilestonesaredueattheendoftheproject.

Taskprogresses:T5.1RetailmarketimpactandROI(resp.POLITO)

In T5.1, lead by POLITO, the impacts of FLEXMETER solution in the market and the Return of Investment will beanalyzed. To do sowe are performing an analysis of the regulatory framework of electricitymarkets for the twodemonstrators (Italy and Sweden). The aim of such analysis is to highlight possible regulatory barriers for thedeployment of FLEXMETER solutions, hence for the entrance in themarket. Particular attention is devoted to theregulationofMV/LVdispatching inorder tounderstandthe feasibilityofdemandresponseservices.Meanwhilewehave prepared surveys that are going to be exposed to the involved Utilities and Final Users to understand theirfeelingsontheFLEXMETERservicesinordertoperformtheanalysisofmarketpenetrationandReturnofInvestment.Thetaskisongoing.

T5.2Smartmeterservices(resp.IREN)

While theactivityof this task leadby IRENwill startonM23,wereportheresomepreliminaryconsiderations.Theeconomicevaluationwillnotbestrictly relatedtonewhardwarebut,becauseof thevariousconstraintsexisting indifferent countries, on the services that the new meters will enable at different levels and for the variousstakeholders.ThebusinessmodelofFLEXMETERsolution,consideredasaNEWCOsellingitsservicesanddevices,willbedeveloped taking into accountnot only an estimatedbusiness penetrationbut also thepossible changes in theenergy markets that will enable new schemes (like demand response, MV/LV dispatching….). The “unique sellingpoint”ofFLEXMETERprojecthasbeenaddressedconsideringapossiblebusinessplanforanew“FlexmeterCompany”foundedthankstotheEUgrantandtheworkofallthepartnersinvolvedtodevelopamarketablesolution.

T5.3Energyaggregator:retailmarketimpact&businessmodel(resp.TI)

ActivitywillstartonM23

T5.4FLEXMETERsolutionuniquesellingpoints(resp.SIVECO)

ActivitywillstartonM23

WPSubmitteddeliverables:None


WP6–DemonstrationandEvaluation[Months: 18-36] RWTH AACHEN, POLITO, IREN ENERGIA SPA, STMICROELECTRONICS SRL, INP GRENOBLE, UPB, SIVECO ROMANIA SA, E.ON SVERIGE �

�WPobjectives (fromDoW):ThisWP6 includesall thedemonstrationactivities inbothTurinandMalmopilot sites.

Thishasasobjectivetheinstallationofrequiredcomponents(gatewaysandsmartmeters)andthesubsequentdatacollection.AnotheressentialpartofthisWPwillbethedefinitionofmetricsthatwillbeusedforfinalevaluationandthescenariowheretherewillbeevaluated.Also,thisWPincludesthedevelopmentofasimulationenginethatwillhelptheanalysisofthescalabilityoftheFLEXMETERsolutiononalargerscale.

RevisedWPobjectives:Thegeneralobjectivesof theWPare in linewith those reported in theDoW.They includefrom one side the deployment of the all the components on the two pilots for the evaluation of the FLEXMETERplatform and the services in real scenarios. On the other side, they include the implementation of a simulationplatformfortheassessmentofthosescenarios,andthoseapplications,thatcannotbetestedintherealenvironmentforpracticalreasons.Also,thesimulationenginewillallowtestingandassessingpossiblescalabilityissues.

OverallWPprogresses:Themain goal of thisWP is to finalize thework carried out in the otherWPs by testing and evaluating the cloudplatformandtheservicesdevelopedwithinFLEXMETER.Asaresult,mostofthetasksarescheduledforthesecondhalfoftheproject.Accordingtotherequestforamendments,tasksT6.1andT6.3wereanticipatedtostartinthefirsthalfoftheproject.InT6.1,theaimistoset-upthesimulationplatformneededfortestingthosescenariosandservicesthatcannotbeevaluatedintherealpilots,whileT6.3dealswiththeintegrationanddeploymentofthehardwareandsoftwarecomponentsinthetwopilots.TheoverallprogressoftheWPismostlyinlinewiththetimescheduleoftheplannedactivities.Onlyslightdeviationsexistforsomesub-tasks,buttheyarenotcriticalandtheyarenotexpectedtocreateanydelayorissuefortheotheractivitiesoftheWPand,moreingeneral,fortheproject.MoredetailsareprovidedinthefollowingforeachWPtask.


Alldeliverablesareforeseenontime.MS9concernsthepilotdeploymentcompletion:thecompletionofsmartmeterinstallationisforeseenontimebyM24.

Taskprogresses:T6.1Simulationengine(resp.RWTH)

T6.1 aims at developing the real-time simulation platform needed for testing those scenarios, services andapplicationsthatcannotbeevaluatedintherealenvironmentbecauseofthespecificcharacteristicsofthepilotsorbecauseoftheimpossibilitytoimplementparticularapplicationsduetotheregulatorylimitations.ThestartoftheactivitiesforthistaskhasbeenanticipatedtoM6inordertodesignandimplementtheplatforminparallel with the design of the Flexmeter services, and in order to face possible issues or delays that can beencounteredbecauseofthespecificrequirementsofsomeoftheuse-cases.The task is composed of three main activities, namely: 1) the set-up of the simulation engine, together with thecreationofrealisticloadandgenerationdata;2)set-upofco-simulationschemesinvolvingtwoenergyvectors;3)set-upofaHardwareintheLoopplatformfortestingthehardwarecomponents(smartmeterandconcentrator).Asforthefirstsub-task,theset-upofthesimulationengineisprogressingwellandaccordingtothetimeplans.RWTHandPOLITOhaveimplementedtwosimulationplatformsbasedondifferentreal-timesimulatorsthatshareacommonarchitecturemodelandcommoninterfacestothecloud.ThesimulationplatformsusethecommondatamodelanddataformatasdefinedinWP4andwillallowtestingthedifferentusecasesdefinedalongtheproject.Apreliminaryevaluation of the real-time operation of the platform, and of its integration with the Flexmeter cloud, has beenperformedbymeans of a State Estimation algorithm,which runs andpublishes the State Estimation results in thecloudeveryminute.


Thesoftwaretoolforthecreationofrandomloadprofiles,whichisnecessarytocreatetheinputsforthesimulations,is in an advanced implementation stage and only needs some small refinements. It includes several powerconsumption profiles of single appliances obtained from realmeasurement campaigns performed by the partners(Midori andUNIBO) and it allows creating the load profile of individual customer down to the single appliance. Inparallel,thetoolforthecreationofrenewableenergysourcesprofilesisinprogressanditisexpectedtobereadybytheendofDecember.Theco-simulationoftwoenergyvectorsisalsoinprogress.Asimplifiedversionofthethermalandelectricalmodelshas been already implemented andused for a preliminary assessment of thedemand sidemanagement algorithmdevelopedinWP4forthesmartschedulingofheatpumpsoperation.Amoredetailedscenariowillbemodelledintheupcomingmonthstoreplicatethesituationinoneofthetwopilots(Malmöpilot,incollaborationwithE.ON).Finally,asforthedevelopmentoftheHardwareintheLoopplatform,thisactivityisnotyetstartedbecauseofsomedelaysinthedeliveryofthehardwarecomponents.Thisisthemostsignificantdeviationwithrespecttotheinternalplans. However, it isworth to notice that possible delays in this activitywill not affect the remaining tasks of theproject,sinceallthetasksfortheevaluationoftheusecasesinthedefinedscenariosareexpectedtostartatthethirdyearoftheproject(May2017).

T6.2Evaluationscenariodefinitionandmetrics(resp.POLITO)

Thistaskisjuststarted(June2016)anditinvolvesthedefinitionofthescenariosandmetricstobeusedforevaluatingthe Flexmeter platform and services. At themoment, the activities are still in a preliminary stage and aremainlyfocusingonthedefinitionofreferencescenariosforeachusecasetobetested.

T6.3Integration,deploymentanddatacollection(resp.E.ON)

The startof theactivities for this taskhasbeenanticipated toM12 inorder tomake the real data from thepilotsavailableassoonaspossible,sothattheycanbeexploitedtorefinesomeoftheapplications/servicesdesignedintheotherWPs.As for theTurinpilot, the installationofmulti-servicemeters is currentlyongoing. The Italiandemo is using in theFLEXMETER project some prototype solutions being developed by technology partners and subcontractors. Somedelaysoccurred in thedesignandassemblyof thesedevices;moreover,also theengagementof final customers insuchkindofprojectpresentedsomedifficulties,thusresultinginsomedelays.Sofar,fewprototypeelectricmeters(postfiscalenergymeters)havebeeninstalledandtested,whilethefulldeploymentbothatsubstationandcustomerlevelwillstartfromSeptember2016,withtheobjectivetohavetheItaliandemoupandrunningfortheendof2016,as planned. A preliminary version of the user awareness app is currentlyworking on 2 pilot installments (where ameterprototypeis)in2finalcustomershouses.AsfortheE.ONpilotinMalmö(Sweden),themeteringobjectsintheFLEXMETERprojectare:

• 2MV/LVsubstationswithenergymeters• 350electricitymetersinapartments• 2 district heating metering points in two of the buildings (providing heat and warm water to 150 of the

apartments)

TheinstallationofthesubstationmeterswillbedoneinAugust.InstallationoftheapartmentmetersisdelayeduntilSeptember due to the delayed delivery of the meters from Landis+Gyr that will be used with the Connodecommunicationmesh-radiomodules.ThereforeE.ONdecidedtoinstall4parallelLandis+GyrmetersthatE.ONalreadyhadinearlyJuly.ThesefourmetersarecollectingmeteringvaluesandtheyarestoredintheE.ONmeteringdatabase.InAugust/SeptemberthesefourmetersandthetwodistrictheatingmeterswillbeinterfacedtotheFlexmetercloudplatformandallthemeteringvalueswillbeavailableintheplatformtobeusedbyalltheusecaseapplications.


For both the pilots, the deployment plan is thus in line with themilestoneM6.1, according to which the systemdeploymentonthetwodemonstratorsisexpectedtobecompletedbytheendofthesecondyear(December2016).

T6.4Scalingissues(resp.RWTH)

Activitieswillstartduringthethirdyearoftheproject

T6.5Evaluationagainstdefinedmetrics(resp.POLITO)

Activitieswillstartduringthethirdyearoftheproject

WPSubmitteddeliverables: None


WP7–DisseminationandExploitation[Months: 1-36] E.ON SVERIGE, POLITO, IREN ENERGIA SPA, STMICROELECTRONICS SRL, TELECOM ITALIA S.p.A, RWTH AACHEN, INP GRENOBLE, UPB, SIVECO ROMANIA SA, UNIBO �

WP objectives (from DoW): In this WP the dissemination activities and IPR management will be performed.Furthermore,exploitationplanswillbeelaboratedandupdatedaccordingtothemarketevolutionandthetechnicalachievements of the project. The industrial beneficiaries will focus mainly on exploitation, while academic andresearch beneficiarieswill drive dissemination. Implementation of cooperation actions among selected LCE6-LCE10projectsthroughorganizationofanannualworkshopdiscussingtheprogressoftheprojectsandpotentialsynergies.

Summaryofactivities:

•Elaborationoftheexploitationanduseplan(includingupdate)•Set-upandmaintenanceoftheprojectwebsite•Issueofpressreleases•DevelopmentandmaintenanceofanIPRdatabase•OrganizationofannualLCEcooperationworkshop

SummaryofObjectives:

•ElaborateanexploitationplanfortheFLEXMETERtechnology•Promotetheprojectconceptsandsolutionsforwidespreadadoption•ManagementofIPR•Collaborationandcross-fertilizationamongLCE6-10projectsRevisedWPobjectives:ObjectivesareinlinewithDoW.

OverallWPprogresses:WP7progressesfocusedon:

• Creation and maintenance of project public website (http://flexmeter.polito.it). The website have beeninitiallycreatedonM3asreportedinD7.2anditsstructurehasbeenrevisedonM14.

• IssueofthefirstpressreleaseonM3reportedinD7.1• ExploitationanddisseminationplanhasbeenreportedinD7.3• Disseminationthroughjournalpapers:12papershavebeenpublishedduringtheperiod(allconferences,1

inpress,3ofthemarepublic/privatepublications,allbutoneincludemorethan1partner)• Variousinternational(bothpublicandinternal)seminarshavebeengiven• Presentationofthereal-timesimulatorinthecontextofthe“EuropeanReal-timeIntegratedCo-simulation

laboratory”atIsprainOctober2015• Participation to periodic LCE cooperationmeetings (BRIDGEmeetings) andworking groups, in particular

FLEXMETERrepresentativesareactivein“DataManagement”and“UserEngagement”workinggroups

AlistofexploitationanddisseminationactivitiesatM12(bothperformedandforeseen)hasbeenreportedinD7.3.AdetailedlistofdisseminationeventsisalsoreportedinSection2.2ofPartBandthecompletelistofpublicationscanbefoundinPartA.


D7.1,D7.2andD7.3havebeensubmitted.D7.4andD7.5aredueatM36.MS11hasbeenpassedastheresultsarevisibleinD7.3.MS12isforeseenontime.


Taskprogresses:T7.1Exploitationanduse(resp.EON)

Apreliminaryexploitationanddisseminationplanhasbeensubmitted(D7.3)onM12.Sincethen,companies intheconsortiumaremoreclearlydefiningexploitable itemsand togetherwithWP5activities theyaredefiningbusinesscasesassociatedtotheservicesdevelopedintheproject.Thisdefinitionisimprovingaslongastheservicesandusecases are developed and implemented.We report here some updates concerning exploitation plans of companieswhichwerenotreportedinD7.3.

SIVECO,which is involved in implementation of complex IT systems in other research and innovation projects, haswidelynetworkcontactswithindustrial,academicandresearchsectors,whichwillbeexploitedtospreadtheresultsoftheproject.Asatechnicalpartnerinproject,SIVECOisinterestedtoexploreandexploitinsimilarITprojectsthebenefitsofthetop-level technologiesused in FLEXMETER. SIVECOaims touse themethodological and technological contributionsspecifictoFLEXMETERfortheupcomingimplementationofsimilarsolutionsandfurthersimilarresearchprojects.

SIVECOhave explored somedirectionswith potential for the exploitation and commercialization strategy: the top-leveltechnologiesanddevelopmentofsoftwareapplicationsbasedontheresultsoftheFLEXMETERproject.

SIVECOaimstoapplythetop-leveltechnologiesusedintheFLEXMETERproject(AngularJS,HTML5.0,Bootstrap,JMSmessagebroker,architecturalmodelbasedonmicro-services) infurthersimilar ITprojects(developingandcreatinganITproduct/solutionorprocess).

SIVECO could develop a software application for billing in cloud, possible to be commercialized, based on theprosumers'consumptionresults,providedbytheFLEXMETERsolution.

SIVECOcoulddevelopspecifice-learningsoftwareapplications/tools,designatedtotraintheusersoftheFLEXMETERsolution,possibletobecommercialized.AlistofexploitableresultshasbeenreportedinD7.3.

Also ST, as a semiconductor company, is refining its exploitation plans related to smart meter solutions andapplications resulting from FLEXMETER. ST is exploiting its STCOMET technology in the project and through thedefinitionoftheinnovativeservicesdevelopedinFLEXMETERiscapturingrequirementsfornewgenerationofmeters.

SThasannouncedimportantnewprotocolcertificationsandastrengthenedecosystemforitsSTCOMETsmart-meterSystem-on-Chip (SoC) platform, creating a unified and future-proof platform capable of complying with themajorpower-linecommunication(PLC)standardschosenbyutilitiesworldwide.TheSTCOMETSoChasbecomeoneofthefirst two ICs to complete the newG3-PLC™ certification program announced by theG3-PLC Alliance in September2014.STCOMEThasalsopassedinteroperabilitytestsforPRIME®1.4,thelatestversionofthePRIMEAllianceiiPLCstandardusedbyoverfourmillionsmartmetersinservicetoday.ItisalreadycertifiedtoPRIME1.3.6,andsupportsS-FSK IEC61 334-5-1,METERS ANDMORE®, and IEEE 1901.2 PLC standards. At European UtilityWeek 2014, ST wasshowcase several STCOMET-basedmetering products compliant with multiple standards from different customersworldwide. The smart meters in any given grid comply with a common communication protocol to exchangeinformationwithequipmentattheutility’spremises.AnumberofPowerlineCommunications(PLC)standardsareinuseworldwide, conceived to support interoperability and enable new smart-grid applications. By testing its smart-meterSoCsinaccordancewiththeseprotocolspecifications,STenablescustomerstoproduceequipmentthatpassesacceptancetestsforconnectiontogridsintheirtargetmarkets.Vitaltowide-scaleadoption,SThasrecentlyachievedcertificationto the latestG3-PLC1andPRIME2v1.4-profile2specificationscovering frequencybandsupto500kHz,such as FCC3 bands. Together with existing G3-PLC and PRIME v1.4 approvals covering European CENELEC-A4,STCOMETisnowcertifiedaccordingtoallmajorstandardsinforceglobally.

IREN,asutility,thankstotheworkofitssubcontractorsandlinkedthirdparties,hasbeenalsoabletoreleaseabetaversionoftheapp“ClickIREN”thatwillbeusedforuserempowermentobjectives(forelectricity) intheTurinpilot:theneedofadedicatedapp,asalreadymentioned,isrelatedtotheinternalpolicyoftheCompanytohavejustone


app(thatisthealreadyexisting“ClickIREN”app)forcommunicatingwiththefinalclients.Changesandimprovementsdevelopedduringtheprojectwillbemadedirectlyonit.

T7.2Informationdissemination(resp.POLITO)

Duringthisperiod,POLITOandSIVECOROMANIAS.AexpertshavecontributedatimprovingtheFLEXMETERwebsitedesignsinceits initialversionreleasedonM3.Moreover,aconsistentnumberofdisseminationactivitieshavebeenperformed as reported in Part A of the periodic report. These activities consisted in scientific paper publications,publicseminarsandevents,disseminationthroughcompanywebsitesandmore.

For instance, FLEXMETER is link has been added to SIVECO (http://www.siveco.ro/en/about-siveco-romania/newsletter/news-siveco-romania-april-2015-0),RWTH(https://www.acs.eonerc.rwth-aachen.de/go/id/hsqp)andINPG(http://www.g2elab.grenoble-inp.fr/syrel-/)websites.Inparticular,thelatteristhepageoftheLaboratoryofelectricalengineeringofGrenoble(G2Elab)thatisajointresearchunitoftheINPG,CNRSandUniversityGrenobleAlpes.

FLEXMETERprojecthasbeenalsoadvertisedon:

• The website of the Institute for Automation of Complex Power Systems of RWTH Aachen University,descriptionoftheFlexmeterconcepts,togetherwiththemainactivitiesandgoalsoftheproject,arereportedonthewebpage

• The2015AnnualReportoftheE.ONEnergyResearchCenterofRWTHAachenUniversity.• SIVECOpressreleaseavailableonthefollowingwebsites:

o http://www.siveco.ro/en/about-siveco-romania/press/press-releases/flexmeter-research-projecto http://www.aries.ro/se-poate-reduce-consumul-de-utilitati-da-proiectul-de-cercetare-flexmeter-

propune-o-solutie/o http://www.comunicatedeafaceri.ro/it-c/se-poate-reduce-consumul-de-utilitati-da-proiectul-de-

cercetare-flexmeter-propune-o-solutieo http://www.ziare-pe-net.ro/stiri/se-poate-reduce-consumul-de-utilitati-3641437.htmlo http://www.agora.ro/stire/se-poate-reduce-consumul-de-utilita-io http://www.ziarelive.ro/stiri/se-poate-reduce-consumul-de-utilitati.htmlo http://www.comunicatemedia.ro/Se_poate_reduce_consumul_de_utilitati__Da__proiectul_de_cerc

etare_Flexmeter_propune_o_solutie__ic67515.htmlo http://www.comunicatedepresa.ro/siveco-romania/se-poate-reduce-consumul-de-utilitati-da-

proiectul-de-cercetare-flexmeter-propune-o-solutie/o http://www.webpr.ro/stiri-it_c-19535959-poate-reduce-consumul-utilitati-proiectul-cercetare-

flexmeter-propune-solutie.htm

POLITO and RWTH were active part of the of the consortium that presented the inter-lab real-time network co-simulatorpresented in IspraonOctober29th,2015 inoccasionof the“European InteroperabilityCentre forElectricVehiclesandSmartGrids”.

POLITO presented FLEXMETER in the APAC innovation summit 2015 – Smart Cities(http://hongkong.tie.org/event/apac-innovation-summit-2015/).

POLITOpresentedFLEXMETERprojectinaninternalseminarinsidethecourseof“IoTapplicationprogramming”intheDegreeprogramof“ICTforSmartSocieties”.

Besidesadditionalscientificpaperpublications,partnersareforeseenadditionaldisseminationactivities.InparticularSIVECOplanstodisseminateFLEXMETERprojectresultsinthemonthlynewsletter,publicwebsiteandfairsduringthesecondperiod.UPBwillorganizeaNationalWorkshopstogetherwiththeRomanianInstituteforEnergyDevelopmentStudies and Romanian Academy - the Energy Section and a dedicated event during ATEE 2017 conference that isorganizedbytheElectricalEngineeringFaculty.


INPG -G2Elab is planning an internalworkshop inOctober/November 2016 presenting to its staffs and guests theFLEMETERprojectaswellastoshareanddisseminateobtainedresultsinthefirstperiodoftheproject.INPG-G2Elabalsoenvisagespublishingitsloadforecastingresultstoamajorconferenceorinternationaljournalonsmartgrid.

RWTHplanstopursuethefollowingdisseminationactivities:

• Participation to the “International Workshop on Applied Measurement for Power System” and otherconferences/workshopsfordisseminatingtheresultsachievedinFlexmeter.

• Submissionofpaperstointernationalconferencesandjournalstodisseminatetheresultsobtainedfor:stateestimation in lowvoltagegrids;multi-areastateestimationofMediumandLowVoltagenetworks;optimalscheduling of electro-thermal devices; creation of load and generation power profiles for individualcustomers; set-up of hardware in the loop platform for testing of smart meters; cloud services for theautomationofdistributiongrids;real-timesimulationofdistributiongridmanagementservices.

• Dissemination of the main results of FLEXMTER to the public-private partnership for innovation“Forschungscampus - Electrical Network of the Future" ofwhich RWTH is one of the founders andwhereProf.AntonelloMontileadstheConsortiumforLowVoltagegrids.

T7.3LCEcooperationactions(resp.POLITO)

POLITOregularlyparticipatestoLCEcooperationmeetings“BRIDGE”andworkinggroupson“DataManagement”and“Userengagement”. Inthiscontext,POLITOinvolvedbothutilities IRENandEONtoprovideinformationaboutpilotsitesanddemonstrationactivities.Also,POLITOplanstoorganizeaworkshopwhereto inviteotherLCEprojects topresenttheirresultsduringthesecondperiod.





Comments

D7.1 Firstpressrelease

POLITO Websites,patentsfilling,etc.

Public M3 -

D7.2 ProjectpresentationandFLEXMETERwebsite

POLITO Websites,patentsfilling,etc.

PublicM3 -

D7.3 Planforuseanddisseminationoftheforeground

POLITO Report

PublicM12 Submissiondelayed

toM13



WP8–Management[Months: 1-36] POLITO, IREN ENERGIA SPA, STMICROELECTRONICS SRL, TELECOM ITALIA S.p.A, UPB, SIVECO ROMANIA SA, E.ON SVERIGE �

WPobjectives(fromDoW):Listofobjectives:

• Coordination and management of the project and the communication between project partners and theCommission.•Maintenanceofaprojecthandbookasarepositoryofalltherelevantprojectinformation.•SupporttheobjectivesoftheISTprogram,liaisonwithotherprojects(inside/outsidetheISTprogram).•Controlandrefinetheobjectivesoftheproject,assuretimelinessandqualityofprojectresults•Managementoftheprojectrisksandconductself-assessmentregularly•Defineandvalidatethemeasurementsoftheprojectresults.•Preparationofreviewmeetings,costreporting,executionofcontractamendments,writingofreports•ManagementoftheworkpackagesRevisedWPobjectives:ObjectivesareinlinewiththeDoW.

OverallWPprogresses:• Besides normal activities, management efforts have been focused on the preparation of the project

amendmentthatwasfinallysubmittedaftertheendoftheperiod.Thiswasneededbecauseofthechangeoforganizationofsomepartners.Also,theinclusionofanewpartnerasthirdpartyinkindwasmanaged(alsothiswillbeeffectiveinthesecondperiod).

• A private project repository (MEGA - https://mega.nz/#fm/ec5hiArY) is maintained to collect workingdocumentsandmeetingpresentations.

• Phoneandface-to-facemeetingshavebeenregularlyorganizedbythecoordinator.• AgeneralprojectmailinglistismaintainedandseparateWPmainlinglists.

Taskprogresses:T8.1Administrativeandfinancialco-ordination(resp.POLITO)

• Thefirstpaymenthasbeenperformedtopartners.• Theamendmentprocedurehasbeencarriedonandfinalizedatthebeginningofthesecondperiod.• Theamendmentincludesamongotheritems:

o Shiftofeffortasrequestedbypartnerso ChangeofganttincludinganticipationofWP6activitieso ChangeofleadershipofWP2/WP3o RemappingofJRCactivitiesinWP5andWP6toIREN/POLITOo Inclusionofthirdpartiesandnewpartnerso InclusionofUNITOdepartmentofeconomics(WP5)

• Detailsabouttheamendmentwillbereportedinthesecondperiodicreportandinthefirstreviewmeeting.

T8.2Projectmanagement(resp.POLITO)

• Maintenanceofadocumentrepositoryforinternalpartneruseisongoing.• Deliverablesoftheperiodhavebeensubmitted,but:

o Some delays have been caused by the change of organization and role of persons inside somepartnersthataffectedD1.2,D3.1andD7.3.

o EthicsdeliverablesdueonM3havebeensubmittedattheendoftheperiod.Thishavebeendelayedbecausethedelayintheethicsproceduredefinitionandtheelectionofthetwoethicsadvisories.

• MonthlygeneralphonemeetingstookplacesincethebeginningoftheprojecteachlastFridayofthemonth.


• WPalignmentandtechnicalphonemeetingstookplaceatoccurrence.• Thefollowingfacetofacegeneralassemblymeetingshavebeenheld:

o Kick-offmeeting:Jan20,Turin,Italyo M6meeting:Jul7-8,Turin,Italyo M12meeting:Nov23-24,Turin,Italyo M18meeting:May10-11,Malmoe,Sweden

• ThefollowingWPmeetingshavebeenheld:o WP3Kick-offmeeting,May12-13,Catania,Italyo WP3coordinationmeeting,April7-8,Bucharest,Romaniao WP4coordinationmeeting,April9,Bucharest,Romania

T8.3Projectstrategy(resp.POLITO)

TheprojectstrategyiscoordinatedbyPOLITOwithstrongcollaborationofIRENandEONasutilities.Thiscollaborationleadtothedefinitionofusecasesandservices,thatwasinitiallynotforeseeninWP1.

T8.4Qualitycontrol(resp.POLITO)

To ensure project quality, POLITO put in place a procedure for deliverable submission. POLITOmade some effortduringtheprojectdurationtoimprovethetimelinessofdocumentdelivery.

Inparticular,POLITO identifiedapotentialproblem indeliverable revision,asdocumentarrive too late for internalreview.Assuch,thefollowingactionshavebeentaken:

• Deliverablemustbesubmittedatleast3weeksinadvance,internalrevisionismandatorytoensurequality• Toensurethis,aToCisrequestedtobeuploadedontheprivateprojectrepositoryatleast2monthsbefore

thedeadlineAnotherproblemrelatestothecollectionofcontributionstokeepthewebsiteupdated.Ateamofpersonshasbeenelectedtocollectthisinformationperiodicallyfrompartners.WPSubmitteddeliverables:




Comments

D8.1 Firstperiodreport

POLITO Report Public M18 submitted



1.3 Explanation of the work carried per benificiaryInthissectionwereportthetaskcarriedonpartnerbypartner.TheinformationabouttheworkisalsoavailableinsideWPprogresses.

POLITOPOLITO manages the project (WP8) and leads WP1 and WP5. POLITO has strong contributions in all WPs. Itparticipateswithcomputerengineeringandenergydepartment.InWP1,POLITOdriventhedefinitionofservicesandusecasesaccordingto IRENandEONspecificationsaboutthefutureof theelectricitymarket.Also, inWP1POLITOparticipatedtothedefinitionoftheICTinfrastructureandcommunicationrequirements.

• In WP2, POLITO leads the definition of gateway-device communication strategies in T2.2 and thedevelopment of user-awareness application on mobile device in T2.4. A preliminarg version of thisapplicationwillbedemonstratedduringthefirstreviewmeeting.POLITOcollaborateswithIRENandMIDORItodesignthisapplication,ofwhichacommercialversionisbeingdevelopedbyIREN.

• InWP3,POLITOleadsthedevelopmentoffaultandoutagelocationalgorithmsinT3.3anddevelopsareal-timestoragemanagementmoduleinT3.2.

• InWP4,POLITOleadsthedevelopmentdemand-responsealgorithmsinT4.4andoftheIoTplatforminT4.6,collaboratingwithTIandSIVECO.TheplatformisreadyandcurrentlyrunningonSIVECOcloud.

• InWP5, POLITO is developing businessmodels related FLEXMETER services defined inWP1.A preliminarybusinessplanhasbeencompletedandwillbepresentedduringthefirstreviewmeeting.

• InWP6,POLITOiscurrentlyworkingtogetherwithRWTHatthedevelopmentofareal-timesimulatortotestFLEXMETERservicesinvariousgridscenarios.TheinterfacewiththeFLEXMETERsoftwareplatformhasbeenalmostcompleted.

• InWP7,POLITOparticipatestodisseminationactivitiesandmanagestheFLEXMETERwebsite.Also,POLITOparticipatestoLCEcooperationactivitiesregularlyorganizedbytheEC.

• InWP8,POLITObesidesnormalmanagementactivities,carriedontheamendmentprocedure.

IRENSPA(includingthirdpartiesandsubcontractors)IRENactivities inthisreportingperiodmainlyfocusedonWP1,WP2andWP3.Asownerofthedemosites inTurin,IRENworkedwiththeinvolvedpartnersinthedefinitionoftheobjectivesandconfigurationofthedemo,takingintoaccountthedifficultiesarousingfromitsheterogeneity:DSOsecondarysubstations,privatesmartgrid,multi-utilities,privateusersallinvolvedatdifferentlevels.

IRENworkedwithFLEXMETERtechnologypartnersandthirdpartiestodefinethespecsofthehardwaresolutions(tri-phaseandmono-phasesmartmeters,otherdevicesforNIALMactivities,waterandDistrictheatingmeters)sothatthemainobjectivesofinteroperability,flexibilityandscalabilitywerefulfilled.

Other important activities focused on the “software” side of the project: IRENworkedwith POLITO and the otherinvolved partners to define the rules and technicalities for the configuration of smart meter objects in openmiddleware “SiteWhere”. IREN also helped defining the requirements of the app andweb interfaces for the finalcustomersandtheotherstakeholdersinvolvedinthepilots.

Thankstotheworkofitssubcontractorsandlinkedthirdparties,IRENhasbeenalsoabletoreleaseabetaversionoftheapp“ClickIREN”thatwillbeusedforuserempowermentobjectives(forelectricity)intheTurinpilot:theneedofadedicatedapp,asalreadymentioned,isrelatedtotheinternalpolicyoftheCompanytohavejustoneapp(thatsithealready existing “ClickIREN” app) for communicating with the final clients. Changes and improvements developedduringtheprojectwillbemadedirectlyonit.TheNIALMsideoftheappiscurrentlyworkingon2pilotinstallments(whereameterprototypeis)in2finalcustomershouses.

RegardingWP5, IRENcontributed in thedefinitionof thebusinessmodel related to thevarioususecases, focusingespeciallyonthefuturedemandresponseparadigmandMV/LVdispatchingschemeintermsofapplicationandsmartmetersolutionsneeded.The“uniquesellingpoint”ofFLEXMETERprojecthasbeenaddressedconsideringapossible


business plan for a new “Flexmeter Company” founded thanks to the EU grant and the work of all the partnersinvolvedtodevelopamarketablesolution.

STThemainroleofSTwastheprovisioningofthereferencedesignforsmartmeterhardwareplatform.Inparticular,STprovidedKETforthesecondgenerationoftheSmartMeters(SMs),morespecificallyevaluationboards(EVLKSTCOMET10-1)ofSTCOMETSoCtorealize:

1) 1-phaseSM2) 3-phaseSM3) Concentrator:

a. 1-Phaseb. 3-Phase

ST specified the design customization agreed by the FLEXMETER partners in order to satisfy the technologicalrequirementsnecessarytoachievetheFLEXMETERobjectives.

Thisaforesaidcustomizationdesigncouldbedeclinedina:

1) Hardware platform: A flexible smart metering architecture, based on cheap and already availablecomponentsthatcanbeimplementedinaplugandplaywayensuresreal-timeaccesstosinglemetersandproviding communicationonPLCmedium. Starting fromEVLKSTCOMET10-1board, STdeveloped solutionsforSmartMeters,Concentrators,bothatdwellingandsubstationlevel.

2) Software platform: ST, starting from a basic STCOMET firmware library, provided a complete client-serverarchitecture, between concentrator and smart meters, that allows querying the meters and capable totransmit periodically metrological data, sampled at 1 Hz rate, via a PLC communication protocol. In thismode,aquasi-realtimedataaccessingisimplemented.

For the time being, ST is making some trials with 30 evaluation boards and is providing a core network to IRENcomposedby:

1) #2EVLKSTCOMET10-1formono-phaseSM.2) #1EVLKSTCOMET10-1formono-phaseConcentrator.3) UserManualforsetting-upthesystem.

Moreover, it ismanaging some key tasks, in order to carry out all thoseof engineering job,wiring, andboxing, toinstallthenetworksystemsinEnvipark(inTurin).

ST,asWP3leader,organizedandmanagedthefollowingmeetings:

1) May2015KOMinCatania(Italy)2) ReviewofWP3inBucharest(Romania)3) Periodicaltechnicalmeetingwithpartners(TELCO)

SincethebeginningtheSTMicroelectronics’smanagementteamaskedforanamendmenttomaketherequirementscompliant with the real skills of the company. So the task 3.4, initially conceived to treat the protocol for thecommunication system, became a metrological specifications task. ST could not contribute to designate thecommercialsmartmetersbasedonSTtechnology,whichfitstheprojectspecifications,becausetheirunavailabilityforthetimebeing.


TIIn WP1 TI has collaborated with other partners and driven the preparation of the D1.2 deliverable “Report onCommunication Network Requirements”, that aims to define the main characteristics and requirements (from acommunicationnetworkpointofview)givenbyallusecasesinFLEXMETERproject.Inparticular,inthisworkallusecases frompartners has been collectedby TI (with particular emphasis on the traffic exchanges betweendifferentnodesandentitiesinFLEXMETER),andforeachusecaseasetofcommunicationsrequirementshasbeenderived(e.g.throughtput,latency,reliability,...).

InWP2TIhasbeenworkingonT2.3,analysingthedifferentDemandResponsedatamodelsandthedifferentenergygatewaycommunicationprotocolsinordertoidentifythemostsuitableapproachfortheFlexmeterarchitectureandrequirements;theidentifieddatamodelandprotocolwillbethenvalidatedthroughsimulationactivitiesinordertounderstandhowtheselectedapproachaffectthenetworkcommunicationperformancesofthegateway.

WithinWP4,TIdevelopedseveralcomponentsoftheEnergyAggregator:

• DREAM(DemandREsponseAnalysisMachine):DREAMreceivesandelaboratesdatapacketswithinformationabout the average energy consumption of different appliances, recorded, day by day, in several housesduring the whole day. DREAM has different receiving channels: from one publishing subject (houses,simulators,pilots)itcangetdatapacketsonenergyconsumption.Throughanotherpublishingsubject(DSO,etc.) it acquires the indication regarding the action tobeperformed (reduceor increaseenergy) and thenfixesafinalconsumptiontargetaccordingly.WhenDREAMreceivesarequestforenergyvariation(increaseordecrease), itevaluates thedifferentscenariosshowing thenumberof loads that shouldbeshifted fromoneperiodtoanotherduringtheday.DREAMisalsoabletoacquireasetofdataonenergymarketprice,comparing the profits resulting from the current two-rate tariff with those of eventual new price ranges(plannedinthefuturethefreemarket),identifyingwhichtariffprofileismoreprofitablefortheendusers.

• Demand sidemanagement component (DSM): the component related toenergy schedulingofdeviceshasbeen implemented within the Energy aggregator architecture; it receives data related to applianceconsumptionsfromtheIoTframework,detectsuserhabits,takesthedesiredcumulatedpowerprofilefortheenergydistrict,andgenerateproposedscheduleforappliancewhichbalancestheuserhabitswiththeutilityrequests(desiredcumulatedpowerprofileforthedistrict);

• Demandresponsecomponent(DR):theactivityisrelatedtotheintegrationofthedemandresponselibrarydeveloped by PoliTO into the Energy Aggregator framework; the DR component is able to check the DRevents coming to the Energy Aggregator and select the building units and the devices that need to bedeactivatedinordertofulfilltheDRrequest,minimizingdiscomfortfortheusers;

• Energy aggregator API, Energy aggregator UI and framework implementation: TI developed jointly withPoliTO the API and defined the UI for the demonstration of the DSM and DR features of the energyaggregatorplatform;

• Production forecasting implementation: TI developed the Production forecasting component based onmachine learning technique. The component is able to use historical data on irradiance and weathervariables,useweatherforecastandthenisletoforecastirradiance.

IntheframeworkofWP7TI ishighly involved,asoperator, instandardizationactivitiesaimingat the integrationofMachinetoMachine(M2M)serviceswiththeevolutionofcellularnetworks.Inparticular,severaltechnicalsolutionsare currently being proposed in SDOs. In general, we talk about new CIoT (Cellular-IoT) technologies, where newdeviceswillbeintroducedby3GPPwiththeintentiontobeintegratedwiththecellularnetworks,inordertosupportthefollowingtwocategoriesofMachineTypeCommunication(MTC)services:

• mMTC(massiveMTC),where timingconstraintsarenotstrict,buton theotherhandthenumberofM2Mdevices(e.g.indenselydeployedIoTscenarios)willbehuge,comparedtolegacyterminals;

• uMTC (ultra reliableMTC), where mission critical services are imposing strict timing requirements to thecommunication network (this is the typical case of smart grid, or other M2M scenarios driven by otherverticalmarketsegments,likeforexamplevehicularcommunications).


As regards smart meters and in particular FLEXMETER use cases, these new terminal categories (that will beintroducedinthenextfewyears)couldbeevaluatedfora longtermperspective,especiallywhennewandscalablesystemswillbedesigned.

RWTHRWTH has been involved in the activities related to WP2, WP4, WP6 and WP7. In WP2 the focus has been onevaluating the compatibilityof theFLEXMETERarchitecturewith theFIWAREcloudplatform.From this standpoint,solutions either fully based on FIWARE or using the FIWARE components at the Business and M2M layer of theFLEXMETERarchitecturehavebeenidentifiedanddescribedinDeliverableD2.1.InWP4,analgorithmforthedemandsidemanagementofelectro-thermal loads,suchasheatpumps,hasbeendesignedandiscurrentlyundertest.Theoptimal scheduling of electro-thermal devices is one of the use cases selected as service to be tested through theFLEXMETER infrastructure. This activity is also related to one of the tasks in WP6, which is the co-simulation ofmultipleenergyvectors.ThelargestpartoftheworkperformedbyRWTHduringthefirstpartoftheprojectconcernsthe set-up of the real-time simulation platform that will be used in WP6 for testing the different applicationsdeveloped in the otherWPs. This activity, still in progress, includes different sub-tasks. Firstly, a software tool hasbeencreatedfor thecreationofrealisticpowerconsumptionprofiles forresidentialcustomers.Thedevelopedtoolreproducesstatisticalpatternsofpowerconsumptionataggregatedlevelbutitreliesuponthegenerationofrandomeventsforeachindividualcustomer, inordertoemulatetherandomandunpredictablebehaviouroftheend-users.Throughthedevelopedsoftwaretool,thecreatedpowerconsumptionofeachindividualcustomerisavailabledownto the single appliance level, thus enabling the testing of particular applications like NIALM or Demand SideManagementalgorithms.Asecondsub-task,carriedoutinclosecollaborationwithPolitecnicodiTorino,concernstheset-upofthesimulationengineintermsofdefinitionoftherequirements,modellingofthetestgrids,implementationof the software tools needed to control the simulation, and design and implementation of the needed interfacesbetweenreal-timesimulatorandsimulationcontroller,andbetweensimulationplatformandFLEXMETERcloud.Tohaveapreliminaryevaluationof theproper integrationof thereal-timesimulationplatformwiththecloud,aStateEstimation algorithm for Low Voltage grids has been designed, implemented and tested. The developed StateEstimationalgorithmistailoredtotheFLEXMETERarchitectureandcanbeconsideredasanadditionalservicetoDSOsfortheaccuratemonitoringoftheirgrid.

INPGShorttermloadforecasting(STLF),withleadtimesfromafewminutestoseveralhours,playsakeyroleintheonlineschedulingandsecurity functionsofapowermanagementsystem.Short term load forecastingonthetransmissionlevel with large substations is verymaturewith numerousmethodologies throughout the years. However, on thedistribution level with small substations, to the best of our knowledge, few works have been presented in theliterature.Thiscouldbeexplainedmainlybytheunavailabilityofmeasureddataonthe lowvoltagesubstationthatarepartofinputsofloadforecastingmodels.Recently,withadvancesincommunicationinfrastructureaswellastheintroductionofsmartmeteringtechnologyinthedistributionnetwork,thereisanabundanceofmeteringdatafromhome and commercial building. Under the FLEXMETER project, we are currently able to access residentialconsumptiondataprovidedbyE.ONfromMalmosite (Sweden).Ourwork in the firstperiodof theprojectaims todesignloadforecastingmodelatdistributionlevelbyusingthesedata.

Alargevarietyofmathematicalmethodshavebeendevelopedforshorttermloadforecasting.Ingeneral,theycanbedevised into two categories: the traditional approach and the artificial intelligent one. In our research work, theartificialneuralnetworkstechniquefor loadforecastinghasbeenchosenby itsprovenperformanceintransmissionlevelaswellasinMediumVoltage/LowVoltagesubstations.Wefocusonthemethodologyofmodeldesign,choosingtheoptimalarchitecturethathasthebestachievablepredictiveability, i.e.,relyingonvariableandmodelselections.Thevariableselectionisbasedontheorthogonalforwardregression,rankingthevariablecandidatesthatconsistsofendogenous (e.g.week day,weekend, holiday) and exogenous ones (e.g. temperature, humidity, etc) according to


theirinfluenceintothepredictedload.ThemodelselectionisbasedontheVLOO(VirtualLeave-One-Out)technique,whichestimatesthegeneralizationcapacityofthemodel.Loadcurvesaredecomposedintothedailyaveragepowerandtheintradaypowervariationparts, inordertoreducethecomplexityoftheloadmodel.Obtainedmodelshavebeen testedon the residential loaddata inMalmoandgivenencouraging results thatwerepresentedon theM18project meeting. We are currently working to improve the model performance and will apply to Turin (Italy)distributionnetworkwithnewconsumptiondatathatwillbecollectedinTurin(Italy)inthenextstepoftheproject.

UPBUPBactivelyparticipatedwitha reporton currentdataaggregation tehniques (InTask3.1.)basedon the fact thatdifferent types of measurement devices (smart meters, classical meters,equipement related to SCADA etc) usedifferent agregation algorithms and associated reporting rates. The report contained a description of the curentstandards related to this topic and considerations on the possible steps to be taken in order to harmonize theinformationretrievedfrommeasuredquantitiesatsubstationlevel.TheresultsofthisstudyarealsorelevanttothedevelopmentoftheEnergyaggegator(aspartofT4.3).

UPBiscurrentlyworkingonTask3.2Electricstorageintegrationasataskleader.Inthistaskthreedifferentscenariosareconsidered.Thesolutionof(temporarily)usingelectricalstoragetoaddressnetworkvulnerabilitiesfollowingthechanges ineither loadorgenerationprofiles is studied.Theoutcomeof thisstudy isa reportonthe feasibilityandopportunityofaddingstoragemodulesinagivennetworkandtheirbestplacementonthegridtomitigatetheimpactofintermittentgenerationonvoltageprofile.Inaddition,thecostsareestimatedusingadedicatedCBAtool.

InWP2,UPB isworkingon themethodology related to the informativeanduser-intuitivedisplayof theequivalentCO2 emissions related to the end-user energy consumption. This will be part of the implementation of the userinterfaceaspartofD2.3.ItisbasedonmeterupdateswiththeenergymixinthecountrywherethemeterisinstalledandtheCO2emissionsofdifferentenergysourcescharacteristicfortherespectiveenergyprovider..

AspartofWP5,UPB isworkingonthesurveyofthestate-of-the-artofthesmartmeters installed inEuropewithaspecificfocusonthecountriesinvolvedintheproject(mainlythetwowherethepilotsarelocated)andtheextendedfunctionalities of the already installed meters. A comparative analysis of the already available meters and theFLEXMETERsolutionwillbemade.

SIVECODuringthereportedperiodSIVECOROMANIAS.Aperformedthefollowingactivities:

• Analyseandexpandtherequirmentsfortheplatform;

• Splittherequirmentsintofunctionalandnon-functionalrequirments;

• Elaboratetheoverallarchitectureandthetechnologieswhichwillbeusedinordertobuildtheplatform;

• Analysisofthenetworkservicesandprotocolswhichwillbeusedinordertoallowthecomunicationbetweenthemodulesofthepltaform;

• Designoftheplatforminterface;

• Developmentsinordertoimplementthepresentationlayerandbusinesslayer;

• DevelopmentsinordertointegratetheDataAgregationSystem;

• Configurationoftheenviromentforrunningtheaplication;

• Elaboratetheplanforuseanddisseminationforthisplatforminordertoachievetheprojectresults;

Themaincontributionduringthisperiodwasforthefollowingworkpackages:WP1,WP2,WP4andWP7andthedeliverablesforwhichwehadacontributiononthereportedperiodareD1.3;D2.1andD7.3


UNIBOUniversity of Bologna has contributed toWP3 developing two prototypes of smartmeters to be interfaced in theFELXMETERframework;andtoWP4startingthedevelopmentofsignalprocessingalgorithmsforassessingthepowerqualityfromdataacquiredbyFLEXMETERdevices.In details, the smart meters designed in WP3 are low-cost and unobtrusive devices, which can be installed andplugged around cables under measurement without any electrical service interruptions. The first prototype isprovidedwithWiFiradiointerfaceandiscapableofremarkablesignalprocessingonboard,becauseitmountsanARMCortex-Mprocessor.The second prototype of smartmeter is designed to be ultra-low-power and energy neutral. Thismeans that themeterisstillunobtrusive,namelynoelectricalcontactwiththemainsisnecessary,butitisequippedwithanenergyharvesterwhichextracts thenecessarypowertooperatethrough inductivecoupling.Asa result thiskindofdevicedoesnotneedanybatteryoranyplugtothemainstooperate.Itissupplybythecurrentconsumedbytheloadundermeasurements.This two devices are been extensively tested, and a final revision is foreseen in the followingweeks before beinginstalledinthepilotsindicatedbytheFLEXMETERproject.InWP4UniversityofBolognahasstartedthedevelopmentandtheverificationofsomesignal-processingalgorithmsusefulforassessingthepowerqualityofanelectricalsystemandfordisaggregatingthepowerconsumptionmeasuredbyasinglemeterintomorefinegraininformation.Inparticular,thefocusisprovidingthesmartmeterofon-boardsignalanddataprocessingcapabilityandtoalleviatetheburdenofdatasenttotheserversandtothecloud,providingonlydatawithenrichedinformation.UniversityofBolognahasalreadyequipped the smartmeterwith someprocessingalgorithms compatiblewith thecomputing capability of the devices. The energy-neutral meter is equipped with firmware capable to provide afrequencyanalysisuptothe7^harmonic,andboththemetercanprovideTRUE-RMSvaluesforthemeasuredsignals.The current activity ofUniversity of Bologna,whichwill continue also in Period2 is to refine aNon-intrusive LoadMonitoringAlgorithmNILM,capabletoexecutedirectlyonthemeterdevice,withoutanyneedofcloudassistance.The algorithm is currently operating on a Matlab environment for assessing the performance, and University ofBolognaisstartingtoportthecodedevelopingandefficientfirmwareforthesmartmetersdesignedinWP3.

EONE.ON isprovidingapilotsite for theproject.Thesite is located inHylliesouthofMalmö,Swedenand isappointedwithinE.ONtobeasmartgridtestarea.Thepilotsite isdefinedwithapprox.350electricitymeteringpointsand2districtheatingpoints.AlltheelectricitymeteringpointareprovidedbytwoMV/LVsubstations.

StartedwiththespecificationofthecommunicationsystembasedonthecriteriaofusingIPv6foraddressingandthepossibility to collect data in real time. The communication system, provided by Connode, uses mesh radiocommunicationover868MHzandcommunicateviaagatewaythoughtGPRStotheE.ONmeterdatabase.FromthesubstaionsthecommunicationisdirectlythoughGPRStotheE.ONmeterdatabase.

Afterthespecificationphasesomelabtestswereexecutedtoverifythecommunicationfunctions.

ThedeliveryoftheelectricitymetersisdelayedandthereforeE.ONdecidedtoinstallsomemetersinparallelltotheexitingmeterswith the newmesh-radio communikcationmodule. Thesemeters is now collectingmeter data andprovidethedatatotheFlexmeterplattform.

E.ONhasprovidedmeteringdatatotheprojectsotheotherprojectpartnershavesomrealdatatoverifyalltheusecasesthathavebeendefinedbytheproject.

E.ON has also providedwith knowledge and input in the process of specify all the use cases and the FLEXMETERsoftwareplattform.


1.4 Impact TheexpectedimpactreportedintheDoWarestillvalid.Herewereportsomeupdatestotheexpectedimpact.

Updatedimpactonsmartmeters(ST)The“secondgenerationelectricenergysmartmeters” is interconnected tootherpublicutility services, thanks toacommondata-exchangeplatform, that is able to foster the spreadingof innovative services both at consumer andDSO level. The real-time data communicate through G3-PLC power grid. The Flexmeter platform based on STtechnology, isable toget informationcomingboth fromprosumerandsubstationside.Thanks to these twosetofdataweareabletoprovidesomemethodologiesenablingtheimplementationofinnovativealgorithms:

• NILM• Thiefdetection• Faultdetection• Faultlocation

TheSTCOMETcoretechnologyisonesinglechipset,integratingfeaturesusuallythreadover3to4differentchipsets:PLCcommunication(overCenelecAandFCCbands),Applicationprocessor,Metrology,PowerAmplifierandAnalogFrontEnd,CertifiedPLCprotocol Firmware.Thismake theSTCOMETa completeecosystem ready for finalproductdesigns. Support for the latest releases of the leading PLC standardsmakes STCOMET one of the industry’s mostcomplete,matureandhighlyintegratedsmart-metersolution.Thistechnologyhelpstoaccelerateroll-outofthesmartgrids,byensuringstable,affordable, low-carbonenergyforthe future. ST has surpassed important milestones with its STCOMET smart-meter SoC family, enabling utilitiesworldwidetodeliversustainableelectricity,incorporatingmultiplesourcesincludingrenewables,byleveragingsmart-gridtechnologies.

IntheFLEXMETERcontextwedemonstratedtheabilitytobuildacompletenetworkbasedonSTCOMETTechnology,bothbuildingandsubstationlevel,indeedstartingfromthesamechipset,werealizedfoursystems.ThepossibilitytomakesomemeasurementsinthesubstationissomethingreallynewandinnovativeforSTandthiswillallowustotestthemeasurementsysteminindirectmanner.MoreoverwearebuildingapromotionalpartnershipwithIREN,STandIRENstronglycollaboratedinordertorealizethemeasurementnetwork.

Inconclusion,thevisionofthefutureworld,enabledbythesmartgrid,becomesmorerealdaybyday.TheSTCOMETsmart-meterSoCsareleadingtheadvance,combiningtechnicalfeatureswithintegrationandflexibilitytorealizethesmart-energyrevolutioneverywherefromdevelopedeconomiestoemergingmarkets,ST'suniqueprogrammableandfirmware-upgradeablearchitectureallowsdesignerstocreatemultipleproductvariantsleveragingacommondesign,and take advantage of future-proof adaptability to minimize lifetime ownership costs. ST has a fully featureddevelopment ecosystem supporting rapid development of single-phase or three-phase smart meters based onSTCOMET ICs,which includes certified protocol stacks, reference designs, prototyping hardware, and tools such asmetrology-managementsoftwareanddrivers.ThechallengeofferedbyFlexmeterdemonstratedustheabilityforSTtechnologytohandlerealtimedataandtheabilitytorealize:

• 1-phaseSM• 3-phasesSM• 1-phaseConcentrator• 3-phasesconcentrator

basedonuniquechipset.

Updatedimpactoncommunicationnetworksandenergyservices(TI)

TelecomItalyseestheFLEXMETERprojectasanexcellentopportunitytoprosecute,todeepenandtoimprovetheICTsmartgridaspectsfromapointofviewoftelecommunicationoperator.Moreover,throughFLEXMETERcollaboration,TelecomItaliaseesremarkableopportunitiesintermsofthemarkets,clientsandvolumeofthecommercialactivitiesthatcanbelaunched.


Asthecostofcommunicationshasdroppedsignificantly intherecentyears,andeveryhouseholdconnectedtothepowersystemcannowbeassumedtohavesomelinkofcommunications,thisopenthewaytosystemincorporatingbidirectional communicationwith end-users, and is thus one of themost important enabling technologies for thefuturesandabigbusinessopportunityfortheTLCoperators.

ThroughFLEXMETERproject,TelecomItaliabelievesthatthedevelopmentofaninnovativeSmartMeteringnetworkcan turn the communication network into an enlarged global networkwith a twofold objective: firstly, to provideutilitieswithameteringserviceand,secondly,tosupplynewvalueaddedtelecommunicationservices.

ConcerningFLEXMETERresults inactivities focalisedonthedevelopofacommunication infrastructurethatenablesprovisionofValueAdded Servicesbasedupon informationexchange related to energyusage, energy consumptionandenergytariffsintheHomeAreaNetwork,theTIHomeGatewaywillbethetelcobroadbandresidentialgatewaywiththeextendedfunctionalityofgatewaybetweentheHAN, theHomeNetworkandtheWideAreaNetwork (i.e.broadbandconnectiontointernet).

FurthermoreTelecomItaliaisoneofthetopItalianelectricityconsumerswithabout2TWhconsumedeachyear,i.e.almost1%ofthewholeItalianconsumption.Duetothis,anyreductioninenergyconsumptionwillrepresentnotonlyaneconomicbenefitforTI,butalsoanimportantcontributionofItalyinreducingthegreenhouseemissions.Ontheother hand, the improvement of energy efficiency in industrial applications represents also a duty tomeet the EUrequirementsintermsofemissionsendenergysavingsandhasbeenincludedasonethekeyactionstobeundertakenintheframeworkofthe20-20-20climatechangeplan.

About 80% of the energy consumed by Telecom Italia is used to operate the telecommunication network (i.e.switchingplants,transmission,datacentre,mobileradiobasestations…)andaboutahalfofthatenergyisspentinairconditioning. There are therefore two ways to reduce energy consumption: 1) usage of telecommunicationequipmentsdesignedtomeetenvironmentalneeds,2)optimizationoftheclimatecontrolofTLCplants.WithintheframeworkofFLEXMETER,TelecomItaliaanalyzedhowtheusageof ICTtechnologyandtheFuture Internetcanbefundamentaltomeetenergyreductionobjectivesinbothcases.Theexploitationplanisquitesimple:internalusageof this technology in order to reduce the energy bill and – as a consequence – increase the efficiency of theoperations.

ApplicationDomain

AssetsofTelecomItalia

Perspectives TargetCustomers ValueofFLEXMETER

EnergyAggregator

DREAMandEnergyAggregationsoftwareasserviceplatformfordemand/responseenergymarket

Offeraserviceofmanagementfortheflexibilityoftheenergyaddressedbothtotheproducerandtheconsumerwiththeobjectivetoreduceoperatingcostsandbillsofconsumers.

Industries,supermarkets,EnergyDistributorsandEndcustomers/prosumers

Energyaggregatorsoftwaredevelopmentanditsvalidationwithotherpartners

HomeAreaNetwork

Modem-routerasapointofpresenceathome

CloudInfrastructure

TheResidentialBroadbandGatewaycanbecomethehubofnewValueAddedServicesforthehome.

NewVAS’scanbeofferedtoendcustomersbothB2CandB2B2Cthroughenergyretailers.

Endcustomers(e.g.homeswithmicro-generationplant).

EnergyRetailersthatcandifferentiatetheirofferbaseduponVAS

Standardsolutions

Pan-europeanfieldtrials

SmartMetering

WirelessAccessNetwork

CloudInfrastructure

IntroductionofnewSIM-basedsmartmetersthatusestheWANnetworkofTelecomItalia(e.g.NarrowBandIoT)provisionofthemeteringservicetoenergyutilities.

EnergyDistributors Standardization

Pan-europeanfieldtrials


SwitchingPlantsandDataCenters

Building Increaseefficiencyintheoperationofthetelecommunicationnetworkbyreducingthecostoftheenergybill

TelecomItaliaforinternalusage

UsecasesandnewtechnicalsolutionsbaseduponFutureInternetEnablers

Updatedimpactonsmartgrid(RWTH)TheinformationprovidedinSection2.1oftheDoWconcerningtheexpectedimpactsisstillrelevant.Activitiescarriedout by RWTH, which mainly focus on the real-time simulation of the use cases defined during the project, areexpected to have an impact for utility companies and energy market, since they can highlight the potential fortechnical improvements inthemanagementofthedistributiongrids,fosteringtheideationofnewbusinessmodelsinvolvingDSOsorotherenergymarketactorslikeretailers,ESCOs,energyaggregators,etc.Moreover,demonstrationtasksarealsoexpectedtohaveanimpactonStandards,particularlyinthosestandardizationactivitiesstrictlyrelatedtotheSmartGrids.

2. Deviations from Annex 1 (if applicable) TherearenotmajordeviationsfromAnnex1intermsofprojectobjectives.MinordeviationsconcernT1.2scopeandT3.4description.Intermsofuseofresources,

2.1 Tasks • T1.2Energyaggregatorcommunicationrequirements.Thescopeofthistaskwasextendedtodefine

requirementsforallthecomponentsoftheFLEXMETERservicesconsideringthedefinedusecasesinWP1.• T3.4Substationsmartmetercommunication.AsexplainedinWP3description,thistaskleadbySTwasre-

focusedonsmartmeterdevelopmentratherthansubstation-to-substationcommunication.ThereasonbeingthistypeofcommunicationwasnotrequiredbytheservicesdevelopedintheprojectanddefinedinWP1.

2.2 Use of resources Wereportthecomparisonbetweenactualandplannedeffortforthefirstperiod,bothperpartner(Figure13)andperWP(Figure14).

Figure13Effort(actualvsplanned)perpartnerinthefirstreportingperiod.

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POLITO

IRENENERGIA ST

TELECOM

RWTH

UPB

INP-G

SIVECO

UNIBO

E.ON

IREN

PlannedM1-M18

ActualEffort

PlannedM1-M18:302PMActualEffort:243PMRa:o:80%


Overall,theeffortfiguresareclosetoplannedones.Itcanbenotedthatsomepartnerundereffort(suchasUPB).ThesepartnersareinvolvedinWPsthatarestillongoingandtheireffortwillbematchedbytheendoftheactivities.

Figure14.Effort(actualvsplanned)perWPinthefirstreportingperiod.

Forthesamereason,WP3andWP4areundereffortatthemoment,howevertheeffortrelatedtotheseactivitywillbemoreconcentratedattheendinthesecondperiodoncemoredatafortestingalgorithmswillbeavailable.

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WP1 WP2 WP3 WP4 WP5 WP6 WP7 WP8

PlannedM1-M18

ActualEffort

PlannedM1-M18:302PMActualEffort:243PMRa:o:80%

flexible smart metering for multiple energy vectors with...

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