smart grids:enterprise gis for distribution loss reduction in electric utilities, a case study

April 13, 2023 1

Enterprise GIS for Distribution

ManagementLoss Reduction

Reliability improvement

WorkflowCapital Budgeting

GIS for Distribution Loss Reduction

Expectations of Power Utility

Improve revenue by improving ‘ENS’ ( Energy Not Served).

Improve performance by improving SAIFI, SAIDI.

Improving ‘Customer Complaints’ logs in Trouble Call

Management.

Long-standing faults brought to a minimum.

Limiting number of interruption per day a) Breakdown b)

Preventive Maintenance c) Load-shedding.


Good collection & billing System.

To reduce Outage Time.

To stop Power theft.

To provide better services to the consumers.

To have stabilized Asset Management System.

Safety- Zero fatality rate.

Expectations of Power Utility


Enterprise wide Geographical Information System (GIS) in REL

Network Data

SLDs, Layouts, Cable Routes

Equipment Data

Specifications, Diagrams, Operational History

Consumer Data

Name, Kno., Service Line, DT No

Structural Data

Towers, Pillars, Poles, Plinths

New EHV Stations , HVDS, LTMP,

O&M etc.

ArcSDE, ArcIMSArcCatalog, ArcMap

Responder OMS, ArcFM

Network Analysis Tools, Application Programs

Enterprise Data Management GIS Platform

Seeing is believing !!!!!!! We have seen it


BusinessSupport

Transmission/DistributionWMS/Staking/IVR

ArcGIS(Core GIS Functions)

CustomerCare (CIS)

OpenRDBMS

ArcFM Solution(Models and Tools for Mapping and Network Data Management)

XML

Integration Framework

XML XML XML

System Architecture


RILWAN

REL GIS Users Mumbai

Electric DataArcSDE / Oracle

Sun V12804-1200 MHz CPUs

`

`

`

OracleRAC

9.2.05

Landbase DataArcSDE / Oracle

Sun V8804-1200 MHz CPUs

OracleRAC10G

Citrix Terminal ServersArcFM

Firewall

DAKC IDC-2 Mumbai

REL GIS Users Delhi

`

`

`Firewall

Firewall

System Architecture


Need for GIS• Impressive progress in power sector, but still insufficient.

Demand

Widening gap between demand and supply

due to T& D losses amounting to 25% in the

Supply distribution link.

Losses BYPL BRPL

AT&C Loss % 50.71 39.68

Distribution Loss % 48.11 42.7

No. of Consumers 836000 1070000

Target – T & D loss Reduction Solution – 1) Implementation of GIS modules

2) Distribution management thru’ GIS

The estimated T&D losses for the fiscal 04-05 for BRPL and BYPL, Delhi


Estimates of Implementing GIS at Delhi

Initiatives taken by GIS group established at Central Technical Services of the company are as follows -

• Development of Functional Requirements and Data Model. • Updating of Reliance Corporate Land base Maps.

• Capturing the entire EHV/HV network.

• Capturing the entire LV network.

• Capturing Consumer Information.

• In House Digitization and field QC.

• Consultancy Services by REL


Updating of Reliance Corporate LAND base Maps• Integrated large scale corporate land base map prepared based on RICs data requirements with base data as IKONOS imagery imported from Space Imaging.

• IKONOS imagery digitized by RDWL team through network of digitization vendors.

• Maps supplemented with field survey information conducted by contractors identified by RDWL.

Flaw in above system – Information updated by RDWL was insufficient for locating Electrical network and individual Consumer Service points.

Solution – * Updating of all buildings with service

line feeding

* Including all new transport features including

road, railway, flyovers.

Codification Guidelines of RDWL

• Providing unique id to all building for its identification.

• Linking it with its consumer/service line.

Unit Unit Cost Qty.Total Cost

(Mn) Cost Per

Consumer

Land Base Sq Km 20,000 900 18 9.44

Land Base Updating Polygons 8 1,000,000 8 4.2

Cost Estimates for Land base and Updating


Development of Functional Requirements and

Data Models• ESRI / M&M appointed as GIS service providers by REL ( on behalf of BRPL and BYPL ) for - studying existing system. - developing functional requirement for proposed GIS.• GIS Tools – * COTS available platforms from ESRI. * Third party applications from Miner and Miner. * Customer Applications for GIS interfaces for integration with other applications - SAP (ISU-CCS for Consumer Information). - SAP (PM) for Operations and Maintenance. - Cymedist Interface for Network Analysis. - GIS Interface for SCADA system.

Development of tool based on functional requirement and application design document approved by REL for ESRI / M&M

Testing and approval for implementation at cluster citrix application servers at DAKC.

Applications made available for access from anywhere in the Reliance Network including both the DISCOMS in Delhi.


Capturing Entire EHV/HV Network

Phase 1

The GIS data dictionary included the entire network of EHV and HV.

• EHV Grid Stations and their equipments.

• 11/0.44 kv substations and their equipments.

• 66.33 and 11 kv feeders.

Survey agencies identified for capturing

EHV/HV networks.

Digitization of captured data using in-house

digitization tools developed by RDWL and REL

Digitized data migrated to REL Corporate electric

data base server at DAKC.

Database made accessible through ESRI COTS and

customer application from anywhere in Reliance WAN including both DISCOMS in

Delhi.

Unit Unit Cost Qty.

Total Cost (Mn)

Cost Per Consume

r

33/66 KV Conductor Km

33/66 KV Cables Km 650 476 0.3094 0.16

11 KV Conductor Km

11 KV Cables Km 650 1,441 0.9367 0.49

EHV Station Nos 2,500 124 0.31 0.16

HV Stations Nos 500 8,000 4 2.1

Cost Estimates for EHV / HV Data Collection


Capturing the entire LV Network

Phase 2Capturing LV network

Features captured –

• Consumer Feeding Points

* LV Support Structures

* LV Feeder Pillars

* Street Light Structures

• LV Feeder Network (0.44 kv ) connectivity

Consumer Feeding Structure points codified with unique codes for linking them with respective

set of consumers.

This would enable linking of every consumer with its feeding point & 11/440 v substation, required for

energy audit, NA, O&M and other applications.

UnitUnit Cost Qty.

Total Cost (Mn)

Cost Per Consum

er

Feeder Pillars/Support Structures SS 8 800,000 6 3.36

Cost Estimates for LV Data Collection


In-House Digitization and Field QC

Data being captured is governed with stringent QA requirements based on feature being captured

Team deputed for carrying out QC who conducts field checks before accepting data for digitization

Data is then handed over to digitization team where digitization is done using industry standard CAD/GIS packages.


Capturing Consumer InformationNon-availability of accurate consumer records had been one of the main reasons for commercial losses.

GIS based consumer indexing has been carried out by many DISCOMS / SEBs, without much of a fruitful result.

At BSES, Delhi it is at a conceptual; stage and different models are being evaluated for collecting consumer information

The consumer data being collected will be integrated with its building id for its spatial location and network connectivity with its feeding structure id in GIS.

Unit Unit Cost Qty.

Total Cost (Mn)

Cost Per Consume

r

Consumers Consumer 7 1,906,000 13 7

Cost Estimates for Consumer Data Collection


Skeleton of GIS

SCADA

NO

CIS SAP

OMS

CIS

DATA


GIS-AM/FM

Network Analysis

ConsumerInformationSystem(CIS)

SCADA-DMSSAP

Enterprise Wide Integrated GIS.

OMS- Responder

Custom Tools( Energy Audit

Scheduler et al.)


Electric Network Trace

22

LT NETWORK

Service Line

Service Point

23

SLD WITH REF-ID

24

SUPPORT STRUCTURE WITH ATTRIBUTES

25

CONSUMER DATA


Consultancy Services by REL

It is proposed that REL will be appointed as technical consultant to BRPL and BYPL and carry out management services including –

• Survey and digitization• Procurement and contracting• Contract management and monitoring• QA and QC• Hardware and Software• Application testing• Migration and hosting services for application and database at DAKC


Load growth planning Using Geo-referenced data


Distribution Management thru’ integrated GIS

• Load Calibration (LC), Load Flow Calculation (LFC)

• Switching Orders based on minimum Loss path

• Static spatial connection and dynamic behavior of organizational model & equipment model

• Switch and switch status telemetry superimposed with cable/conductor type & length

• Electrical parameters (R, X, B, G ) derived there from to give loss data and options

• Voltage profiling with load data superimposed on above

• Power quality and THD

• Distance relay zones superimposed on map to give nearest fault location

• Fault Isolation and switching restoration options


Estimated Benefits of GIS

• As per estimation, GIS will benefit by decreasing both Commercial and Technical losses.

• Based on assumption for 0.5%, 1.5% and 2.5% increase in MU billed for the first, second and third year respectively by reduction of losses and better O & M.

Pre GIS Implementation Post GIS Implementation

BYPL MU

BRPL MU Total

Approx Tariff

I Yr. (1.0% Incr MU)

Approx. Increase

in Revenu

e

II Yr. (1.5% Incr MU)

Approx. Increase

in Revenu

e

III Yr. (2.5% Incr MU)

Approx. Increase

in Revenu

e

Domestic 1591 2801 4392 2 43.92 87.84 66.54 133.08 112.56 225.12

Commercial 580 740 1320 4 13.2 52.8 20 79.99 33.83 135.32

Industrial 272 406 678 4 6.78 27.12 10.27 41.09 17.38 69.51

Agriculture 1 66 67 1 0.67 0.34 1.02 0.51 1.72 0.86

Bulk 368 1100 1468 1 14.68 7.34 22.24 11.12 37.62 18.81

Total Units Billed 2812 5113 7925 79.25 175.44 120.06 265.78 203.11 449.62

Benefits after GIS Implementation Note: From the table, increase in revenues with prevailing tariff is

175mn, 265Mn and 450Mn respectively for three years.


Sr. No

Activities Description of activity How GIS can help

1 Maintenance of 33 kV, 22 kV and 11 KV cables in the system

Information of the 33KV or 22 kV feeder tripping is conveyed to the zonal engineering dept

The affected are can be viewed on the GIS, so that the cusomers may be informed accordingly.

Arrangements are made for the necessary load transfer operations as per the directions of the Load Cell

a) Locating a Substation during an emergency, for carrying out Switchover operationsb) Determining the shortest route between two substations or any two facilities

Staff is deputed along with personnel of Testing Dept. to pinpoint the location of fault

Knowledge of existing joints on the cable and the topology of the area beforehand

Excavation is arranged for exposing the fault after issuing necessary intimations to concerned local authorities.

Generation of Intimation letters to appropriate BMC Ward, with drawings of the portion to be excavated

After exposure, the fault is ascertained, the cable identified and punctured. If fault is not discernible, re-testing is requested

The number of cables lain along the same route can be verified. The correct cable can then be exposed.

Cable jointing arranged and intimation given to drawing dept. regarding the same.

a) Joint details can be updated on to the GIS directlyb) All attribute details, viz jointing date, jointers name, type of joint etc can be attached to the joint

On completion of jointing and refilling of excavated area, pressure testing of the cable is carried out

Keeping track of whether the excavated area has been reinstated

After successful pressure test, message for charging the cable is given. System normalising operations carried out as per Load Cell

Other faults/ disturbances/ abnormalities in the vicinity of this area can be checked

System normalising operations carried out as per Load Cell.

Keeping track of affected areas, on the GIS map

SAMPLE REQUIREMENT ANALYSIS SHEET

HT Maintenance Department


2 Maintenance of 11 kV/ 430V substations

Preventive Maintenance

Substation Inspection & LT Load reading :The load reading is carried out as per the known peak load period of the substation and may be morning or evening, morning & evening and in some instances night

a)Area-wise peak load period can be displayed on the GISb) An automatic schedule for load reading & Inspection can be generated keeping into account the shortest travel time for the maintenance crew

Transformer Oil filtration: Monthly transformer oil filtration schedules are distributed to the Load Cell, Controlling Receiving Station and to the various districts. The respective D.I.’s arrange for outages as scheduled by distribution of Line-Clear car

a) The GIS can provide updated graphical information on where the outages have been takenb) Line clear cards can be automatically generated and ven mailed to the consumer in advancec) The BDV of the Oil can be attached as an attribute data to the Transf

Switchgear overhauling: (frequency : once in THREE YEARS)The monthly switchgear overhauling schedules are distributed to the Load Cell, Controlling Receiving Station and to the various districts. The respective D.I.’s arrange for the scheduled outage by

Same as above

3 Proposing improvements in network

These proposals are for improvement of supply conditions in the area and include: 1) Reinforcement of H.T.U.G. Cable ( i.e. replacement of existing cable with higher size cable)2) Change / addition of switch-gear3) Change / addition of L.T. Panel4) In

a)Detailed interior layout of the Substation is available instantlyb) Approach roads and possible shorted cable routes can be identified.c) Automatic generation of Bill of Material/ Cost Estimatesd) Displaying areas requiring improvements based on load


4 Miscellaneous works R JobsThese are request jobs executed at the behest of consumers, other utilities or the local authorities or repair works carried out to rectify damages on our cables as a result of works carried out by the party. Estimates for the same are prepared and forwar

a) Generating Estimates for execution of the Jobb) Locating the area of interest


Estimating Return on Investments

Based on the assumptions of the benefits made, it can be seen that the project has a pay back less than one year of its implementation.

CostIncrease in

RevenueNet Cash

Flow IRR

GIS Implementation 128 0 -128

GIS Implementation (End of I Yr) 40 175 135 6%

Maintenance Cost estimated as 25% Of total Implementation (Yr. II) 42 266 224 95%

Maintenance Cost estimated as 15% Of total Implementation (Yr. iii) 25 450 424 138%

From the Table it can be seen that the project not only has very less payback period, but has fabulous returns over second and third year with net cash flows as 135mn, 224mn and 424Mn with IRR as 6%, 955 and 138% for first, second and third year respectively

Return on investments


Thank You

smart grids:enterprise gis for distribution loss reduction in electric utilities, a case study

Technology

base data

gis data dictionary

gis tools

enterprise gis

reliance network

entire network of ehv

data slds

gis group