Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilities, a Case Study

Enterprise GIS for Distribution Management Loss Reduction Reliability improvement Workflow Capital Budgeting

Expectations of Power Utility ,[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Expectations of Power Utility

Enterprise wide Geographical Information System (GIS) in REL Enterprise Data Management GIS Platform Seeing is believing !!!!!!! We have seen it 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, ArcIMS ArcCatalog, ArcMap Responder OMS, ArcFM Network Analysis Tools, Application Programs

Business Support Transmission/Distribution WMS/Staking/IVR ArcGIS (Core GIS Functions) Customer Care (CIS) Open RDBMS ArcFM Solution (Models and Tools for Mapping and Network Data Management) System Architecture XML Integration Framework XML XML XML

Need for GIS ,[object Object],[object Object],[object Object],[object Object],[object Object],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 1070000 836000 No. of Consumers 42.7 48.11 Distribution Loss % 39.68 50.71 AT&C Loss % BRPL BYPL Losses

Estimates of Implementing GIS at Delhi ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Updating of Reliance Corporate LAND base Maps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Codification Guidelines of RDWL ,[object Object],[object Object],Cost Estimates for Land base and Updating 4.2 8 1,000,000 8 Polygons Land Base Updating 9.44 18 900 20,000 Sq Km Land Base Cost Per Consumer Total Cost (Mn) Qty. Unit Cost Unit

Development of Functional Requirements and Data Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],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 ,[object Object],[object Object],[object Object],[object Object],[object Object],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. Cost Estimates for EHV / HV Data Collection 2.1 4 8,000 500 Nos HV Stations 0.16 0.31 124 2,500 Nos EHV Station 0.49 0.9367 1,441 650 Km 11 KV Cables Km 11 KV Conductor 0.16 0.3094 476 650 Km 33/66 KV Cables Km 33/66 KV Conductor Cost Per Consumer Total Cost (Mn) Qty. Unit Cost Unit

Capturing the entire LV Network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],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. Cost Estimates for LV Data Collection 3.36 6 800,000 8 SS Feeder Pillars/Support Structures Cost Per Consumer Total Cost (Mn) Qty. Unit Cost Unit

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 Information ,[object Object],[object Object],[object Object],[object Object],Cost Estimates for Consumer Data Collection 7 13 1,906,000 7 Consumer Consumers Cost Per Consumer Total Cost (Mn) Qty. Unit Cost Unit

Skeleton of GIS SCADA NO CIS SAP OMS CIS DATA

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],INTEGRATION AS A CONCEPT When Should Integration be Considered? ,[object Object],[object Object],[object Object],[object Object],[object Object],Why integration? Benefits of Integration ,[object Object],[object Object],[object Object],[object Object],Metrics -- Measuring Integration Success ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

High Tension Network SCADA SAP Notification & Workorder Integration with Other Applications Low Tension Network ` Analyze Fault ArcFM Electric Data / SAP PM OMS / ! Fault Reported ! Fault Detected

Energy Audit Outage Management Business Development Trouble Reporting PDE Department SAP System Zonal Engineering GIS Regulatory (Tax Polygons) Sales (Revenue vs. Asset) Branding New Proposal Technical / Commercial SCADA Customer Information System Maintenance Complaint Restoration & Crew Dispatch Fault Analysis / Outage Isolation Event Registration Customer Complaints IVR Supply Restoration SAP MM, PM Energy Audit (High loss areas, high feeder loss) New Customer Network Analysis

Network Analysis Consumer Information System(CIS) SCADA-DMS SAP Enterprise Wide Integrated GIS. OMS- Responder Custom Tools ( Energy Audit Scheduler et al.) GIS-AM/FM

LT NETWORK Service Line Service Point

SUPPORT STRUCTURE WITH ATTRIBUTES

Consultancy Services by REL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Load growth planning Using Geo-referenced data

Distribution Management thru’ integrated GIS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Estimated Benefits of GIS ,[object Object],[object Object],Benefits after GIS Implementation Note: From the table, increase in revenues with prevailing tariff is 175mn, 265Mn and 450Mn respectively for three years. 449.62 203.11 265.78 120.06 175.44 79.25 7925 5113 2812 Total Units Billed 18.81 37.62 11.12 22.24 7.34 14.68 1 1468 1100 368 Bulk 0.86 1.72 0.51 1.02 0.34 0.67 1 67 66 1 Agriculture 69.51 17.38 41.09 10.27 27.12 6.78 4 678 406 272 Industrial 135.32 33.83 79.99 20 52.8 13.2 4 1320 740 580 Commercial 225.12 112.56 133.08 66.54 87.84 43.92 2 4392 2801 1591 Domestic Approx. Increase in Revenue III Yr. (2.5% Incr MU) Approx. Increase in Revenue II Yr. (1.5% Incr MU) Approx. Increase in Revenue I Yr. (1.0% Incr MU) Approx Tariff Total BRPL MU BYPL MU Post GIS Implementation Pre GIS Implementation

Estimating Return on Investments ,[object Object],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 138% 424 450 25 Maintenance Cost estimated as 15% Of total Implementation (Yr. iii) 95% 224 266 42 Maintenance Cost estimated as 25% Of total Implementation (Yr. II) 6% 135 175 40 GIS Implementation (End of I Yr) -128 0 128 GIS Implementation IRR Net Cash Flow Increase in Revenue Cost

Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilities, a Case Study

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Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilities, a Case Study