gis data assessment for dms and smart grid implementation · voltage/power reduction 5. optimal...

Smart Information for a Sustainable World

11/3/2011

GIS Data Assessment for DMS and Smart Grid Implementation

1

Esri EGUG11 October 2011

John Dirkman, P.E.Telvent


Agenda1. Determining your Distribution Management System and

Smart Grid Drivers2. Source Data Preparation3. Communications and Security

Where are you going?How do you get there?How do you survive the trip?


11/3/2011

Smart Grid DriversWhere are you going?

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Key Business Problems for Utilities

Reliability of service

Peak demand reduction

Utility cost savings

Conservation voltage reduction

Customer demand response

Sustainability

Renewable energy

Electric vehicles

Customer Choice

Other, please specify

Source: TUG 2011 Survey


Projects Under Consideration

Source: TUG 2011 Survey

Distribution Automation (field automatedswitching)

Automated Volt/Var Control

Intelligent field devices and sensors

OMS and DMS as one combined solution

Customer Demand Response

Customer Energy Portal

Distributed Generation

Electric Vehicles

Predictive maintenance

Other


DMS and SG BenefitsImprovement methods (using DMS)

Control of measurement devices and connections Anonymous denunciation

DMS - Location of Commercial Losses

Gauging, new meters and MDMS

DMS - Optimal Network ReconfigurationDMS - Volt/VAR Control

DMS - Network Development and ReconstructionDMS - Load Shedding DMS - FLISR

LV network (1-3%)

Substation HV/MV (1%)Dist transform MV/LV

(1-1.5 %)

MV network (1-3%)

Theft and Unmeasured Energy (3-5%)

Meter System (1-2%)

Billing System (1%)

(10-15%) Cause

(5-8%)

Tech

nica

l C

omm

erci

al

Improvement of reading and billing system

DMS - Low Voltage Analysis


DMS Applications

Basic – Mandatory1. Network Model2. Topology Analyzer3. State Estimation4. Load Flow Calculation5. Performance Indices

Dispatching1. Fault Location2. Fault Isolation3. Supply Restoration4. Large Area Restoration5. Switching Sequence Management6. Under Load Switching7. Return to Normal State8. Temporary Elements9. Work Order/Switching Proc Mgmt10. Incident Management11. Load Shedding12. Thermal Monitoring13. Short-Term Operation Simulation14. Low Voltage Analysis

Operations1. Voltage Control2. VAR Control3. Volt/VAR Control (Closed Loop)4. Voltage/Power Reduction5. Optimal Network Reconfiguratn6. Near-Term Load Forecasting7. Short-Term Load Forecasting8. Load Management9. Operation Improvement10. PHEV Management

Analysis1. Energy Losses2. Operational Losses3. Reliability Analysis4. Fault Calculation5. Relay Protection6. Breaker/Fuse Capacity7. Contingency/Security Assessmnt8. Motor Start9. Harmonic Analysis10. Historical Analysis

Planning1. Medium Term Load Forecasting2. Long Term Load Forecasting3. Network Planning4. Network Automation5. Capacitor Placement6. RTU/Sensor Placement7. Network Reinforcement8. Voltage Regulator Placement9. Asset Management10. DG Monitoring and Control11. Network Scanner

Additional Functions1. Peer-to-Peer FLISR2. Meshed Low Voltage Networks3. DMS Mobile SSM

Training1. Dispatcher Training Simulator


DMS Applications

Basic – Mandatory1. Network Model2. Topology Analyzer3. State Estimation4. Load Flow Calculation5. Performance Indices

Dispatching1. Fault Location2. Fault Isolation3. Supply Restoration4. Large Area Restoration5. Switching Sequence

Management6. Under Load Switching7. Return to Normal State8. Temporary Elements9. Work Order/Switching Proc Mgmt10. Incident Management11. Load Shedding12. Thermal Monitoring13. Short-Term Operation Simulation14. Low Voltage Analysis

Operations1. Voltage Control2. VAR Control3. Volt/VAR Control (Closed Loop)4. Voltage/Power Reduction5. Optimal Network Reconfiguratn6. Near-Term Load Forecasting7. Short-Term Load Forecasting8. Load Management9. Operation Improvement10. PHEV Management

Analysis1. Energy Losses2. Operational Losses3. Reliability Analysis4. Fault Calculation5. Relay Protection6. Breaker/Fuse Capacity7. Contingency/Security Assessmnt8. Motor Start9. Harmonic Analysis10. Historical Analysis

Planning1. Medium Term Load

Forecasting2. Long Term Load Forecasting3. Network Planning4. Network Automation5. Capacitor Placement6. RTU/Sensor Placement7. Network Reinforcement8. Voltage Regulator Placement9. Asset Management10. DG Monitoring and Control11. Network Scanner

Additional Functions1. Peer-to-Peer FLISR2. Meshed Low Voltage Networks3. DMS Mobile SSM

Training1. Dispatcher Training Simulator

Match Business Drivers with Project Drivers and DMS Applications


11/3/2011

Source Data PreparationHow do you get there?

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GIS Readiness

ESRI survey of 226 utility companies on Smart Grid Readiness

Lag between work completion and GIS Age of oldest outstanding work order

Recommendation: Use GIS-based design and mobile GIS: Designer, ArcFM Mobile


GIS Readiness

GIS data completeness

GIS data accuracy

Recommendation: Use a systematic process to improve accuracy and completeness


Increased Importance of QualitySmart Grid applications assume data from the GIS is complete, correct, and current


GIS Data Quality Problems

1. Transformer/customer connectivity2. Phase mismatches:

a. where phase changes between conductors (e.g. A to B, etc.) b. devices/conductors where phase is null c. devices and conductors that are in unintentional loops or multi-feeds


GIS Data Quality Problems

3. Voltage mismatches:a. where conductor voltage changes without a tap or transformer b. devices/conductors where voltage is null c. devices that have a different voltage than their connected conductors

4. Devices with null or duplicate ID’s (switches especially)

5. Disconnected devices or conductors


Feeder Manager Phase MismatchLabeltext Expression:http://resources.arcfmsolution.com/

FindDisconnected

Trace

GIS Readiness

http://www.miner.com/freetools/


The Geometric NetworkMust be a geometric network with accurate connectivity

You can get business value from a Geodatabase without a complete or accurate networkYou can’t get value from supporting Smart Grid apps without a complete and accurate network


Types of ErrorsInvalid feature geometries

Multi-part geometriesClosed polylinesSelf-intersectingpolylines

Rebuild ConnectivityRepair ConnectivityVerify ConnectivityVerify Network Feature Geometry


Types of ErrorsInvalid Network Configurations

IslandsLoopsMulti-feeds


Types of ErrorsInvalid Feature Attributes

Phase InconsistencyVoltage Inconsistency

Distribution XFRHV 4.16 kVLV Unk

12.5kV

Step XFRHV 12.5 kVLV Unk

4.16 kv

120/240 v

Step XFR

Distribution XFR


ArcFM AutoupdatersArcFM Auto Phase Assign

Returns a phase designation for a point feature when placed within a search tolerance of a conductor or when the point feature is updated.

ArcFM Length DoubleUpdates the Measured Length field with the value in the Shape.Len field.

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ArcFM AutoupdatersArcFM Connect Network Feature

Connects a point feature to the network when it is not currently part of the network and is moved to snap to another network feature.

ArcFM Inherit Operating VoltagePopulates the operating voltage field of the incoming object with the value of the feature to which the object is connecting.

All Feeder Manager Autoupdaters

ArcFM Phase Swap – can be used to correct phase data

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ArcFM Validation RulesElectric Connectivity

This object validation rule ensures that electric features are properly connected. For example, transformers and other devices must be connected to conductors or busbars and service points must be connected to secondary conductors. Conductors should be connected to other conductors.

Feeder Info and Trace Weight ComparisonThis object validation rule compares the trace weight value to the Feeder Info field setting to verify that both fields have the same phases energized.

Phase on Transformer BankThis field validation rule ensures that the phase value of a transformer is a subset of a connected primary conductor.

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QA with Geodatabase Manager

QA can also be invoked as a “action” within an application like Geodatabase Manager


DMS Data Import QA/QCDevice connectivityVoltage inconsistenciesPhase inconsistenciesInvalid catalog dataZero-length conductorsDevices at three-way intersectionsIncomplete data - missing required attributes

Example error messages:“ERROR: Phases of transformer (FacilityID= '520309') are inconsistent with phases of its associated primary lines”“ERROR: Equipment is not connected to the network. Equipment: Transformer, FacilityID= ‘243891')”“ERROR: Type of switch (FacilityID= ‘184103') is null”

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DMS Internal QA/QCDMS is then used for further data validation:

Data within expected rangesOverloaded devicesLow voltagesErrors due to phase imbalance, incorrect connectivity, or incorrect

conductor lengthsExpected results from

running DMS functions

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Required DMS Data

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Catalog Data


Equipment Catalog

BankDevice BankDevice + ObjectID: Integer+ FeederID: String+ FacilityID: String+ Phase: PhaseDomain+ <other attributes>

Unit Unit + ObjectID: Integer+ BankOID: Integer+ Phase: PhaseDomain+ Mfg: String+ Model: String+ <other attributes>

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*Examples:• Transformers• Fuses• Switchs• Capacitors• Dynamic Protective Devices• Conductors

GIS Model


Equipment Catalog

BankDevice BankDevice + ObjectID: Integer+ FeederID: String+ FacilityID: String+ Phase: PhaseDomain+ <other attributes>

UnitUnit+ ObjectID: Integer+ BankOID: Integer+ Phase: PhaseDomain+ Mfg: String+ Model: String+ <other attributes>

1

*

CatalogCatalog+ CatID: String+ <properties>

*

1

DeviceDevice+ InstanceID: String+ FeederID: String+ FacilityID: String+ Phase: String+ CatID: String

Determine where to store the Catalog ID

Multispeak: use EquipmentIDArcFM: use CatalogID

GIS ModelDMS Model


Catalog ID – Option 1

BankDeviceBankDevice+ ObjectID: Integer+ FeederID: String+ FacilityID: String+ Phase: PhaseDomain+ CatID: String+ <other attributes>

Unit Unit + ObjectID: Integer+ BankOID: Integer+ Phase: PhaseDomain+ Mfg: String+ Model: String+ <other attributes>

1

*


*

1


Add Catalog ID attribute to GIS device classes• Define as default value

associated with a subtype• Maintain with edit events

(auto-updaters)

GIS ModelDMS Model


Catalog ID – Option 2

BankDeviceBankDevice+ ObjectID: Integer+ FeederID: String+ FacilityID: String+ Phase: PhaseDomain+ <other attributes>

UnitUnit+ ObjectID: Integer+ BankOID: Integer+ Phase: PhaseDomain+ Mfg: String+ Model: String+ <other attributes>

1

*


*

1


Correspondence Correspondence + CatID: String+ DeviceType: String+ <Attr1>: String+ <AttrN>: String

Correspondence Table• And custom interface code

GIS ModelDMS Model


Consumer Groups

Consumer loads aggregated into groups per transformerGroups can be generated from load data or tied to SCADA or AMI


Expectations about StatesDMS will need to track “soon to be constructed/ energized” featuresEnergization can occur in DMS


DMS Model Promotion

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Substation Internals

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Load Forecasting 90% of demand variation due to weather

Wind PowerHighly variable, difficult to predict.Causes increases in spinning reserve generation and risk of grid instability

Weather imposes the largest external impact on the Smart GridDemand, renewable energy supply, and outages are heavily influenced by weatherIntelligent weather integration is the key factor in efficient Smart Grid management

TransmissionTemperature, humidity and wind impact line capacity

DistributionWeather is largest cause of outages (lightning, high winds, ice, transformer failures due to high load, etc.)

Distributed GenerationHome solar contributions can cause system instability due to rapid cloud cover changes

TradingImproved prediction of load and renewable energy contribution improves trading decisions

Weather Intelligence for SG


11/3/2011

Communications and Security

How do you survive the trip?

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Distribution Operations Center

Communications Networks

Generation Transmission/Subtransmission

Substation

Distribution

AGC EMSEnergy Trading

DMS/SCADADA AMI

Digital NetworkEnergy Control Center


Communications RequirementsUtilities must collect the data and timing

requirements: 1. Determine data and timing requirements2. Data for analysis, forecasting, control3. Monitor data - manage data - act on data4. Factor in security requirements and security

overhead5. Determine requirements to support bidirectional

power flow

CapgeminiFeb 24, 2009© 2009 SmartGridNews

http://www.smartgridnews.com/artman/publish/Smart_Grid_Newsletter/about.html


Communications Selection DriversAvailability of public/private wireless networksFundingApplication requirementsUtility maintenance and support capabilitiesTime to implement

SubstationsLeased CircuitsLicensed RadioFiber OpticsSatellite (V-SAT)

Field DevicesLicensed RadioUnlicensed Radio

Point to PointWireless Mesh

Satellite (LEOS)

MetersCellularDial-upHandheld WirelessDrive-by Wireless


SecuritySecurity planning and hardening is essentialCollaborate on security Many devices, many protocols, many vendorsMany system integrations

different security requirementsdifferent levels of integration

Many standardsNISTIR 7628 (Sep 2009, 278 pgs)

Technical and PrescriptiveGoal: Security Strategy for Prevention, Response, and Recovery

NERC CIPIEEEIEC


SummaryDetermine your Smart Grid and DMS Business DriversWork to improve quality and timeliness of GIS dataPrepare additional data sourcesDetermine methods for communications and security

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11/3/2011

Questions? Thank You!

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Esri EGUG11 October 2011

John Dirkman, P.E.Telvent

gis data assessment for dms and smart grid implementation · voltage/power reduction 5. optimal...

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