Enterprise GIS for Distribution Management Loss Reduction Reliability improvement Workflow Capital Budgeting
Expectations of Power Utility <ul><li>Improve revenue by improving ‘ENS’ ( Energy Not Served).  </li></ul><ul><li>Improve ...
<ul><li>Good collection & billing System. </li></ul><ul><li>To reduce Outage Time. </li></ul><ul><li>To stop Power theft. ...
Enterprise wide Geographical Information System (GIS) in REL Enterprise Data Management  GIS Platform Seeing is believing ...
Business Support Transmission/Distribution WMS/Staking/IVR ArcGIS (Core GIS Functions) Customer Care (CIS) Open RDBMS ArcF...
System Architecture
Need for GIS <ul><li>Impressive progress in power sector, but still insufficient. </li></ul><ul><li>Demand </li></ul><ul><...
Estimates of Implementing GIS at Delhi <ul><li>Initiatives taken by GIS group established at Central Technical Services of...
Updating of Reliance Corporate LAND base Maps <ul><li>Integrated large scale corporate land base map prepared based on RIC...
Development of Functional Requirements  and  Data Models <ul><li>ESRI / M&M appointed as GIS service providers by REL ( on...
Capturing Entire EHV/HV Network   <ul><li>Phase 1 </li></ul><ul><li>The GIS data dictionary included the entire network of...
Capturing the entire LV Network <ul><li>Phase 2 </li></ul><ul><li>Capturing LV network </li></ul><ul><li>Features captured...
In-House Digitization and Field QC Data being captured  is governed with stringent QA requirements based on feature being ...
Capturing Consumer Information <ul><li>Non-availability of accurate consumer records had been one of the main reasons for ...
Skeleton of GIS SCADA NO CIS SAP OMS CIS DATA
INTEGRATION AS A CONCEPT
<ul><li>Use work process flows to define touchpoints  </li></ul><ul><li>of integration to support business processes </li>...
High Tension  Network SCADA SAP Notification  & Workorder Integration with Other Applications Low Tension   Network ` Anal...
Energy Audit Outage Management  Business Development Trouble Reporting PDE Department SAP  System Zonal Engineering GIS Re...
Network Analysis Consumer Information System(CIS) SCADA-DMS SAP Enterprise Wide Integrated GIS. OMS- Responder Custom Tool...
Electric Network Trace
LT NETWORK Service Line Service Point
SLD WITH REF-ID
SUPPORT STRUCTURE WITH ATTRIBUTES
CONSUMER DATA
Consultancy Services by REL <ul><li>It is proposed that REL will be appointed as technical consultant to BRPL and BYPL and...
Load growth planning Using Geo-referenced data
Distribution Management thru’ integrated GIS   <ul><li>Load Calibration (LC), Load Flow Calculation (LFC) </li></ul><ul><l...
Estimated Benefits of GIS <ul><li>As per estimation, GIS will benefit by decreasing both Commercial and Technical losses. ...
 
 
 
Estimating Return on Investments <ul><li>Based on the assumptions of the benefits made, it can be seen that the project ha...
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Smart Grids:Enterprise GIS For Distribution Loss Reduction in Electric Utilities, a Case Study

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Electricity Distribution Companies can reduce their T&D Losses by use of Geographical Information System. Experience from a utility.
Please also see
http://reliancenergy.blogspot.com

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

  1. 1. Enterprise GIS for Distribution Management Loss Reduction Reliability improvement Workflow Capital Budgeting
  2. 2. Expectations of Power Utility <ul><li>Improve revenue by improving ‘ENS’ ( Energy Not Served). </li></ul><ul><li>Improve performance by improving SAIFI, SAIDI. </li></ul><ul><li>Improving ‘Customer Complaints’ logs in Trouble Call Management. </li></ul><ul><li>Long-standing faults brought to a minimum. </li></ul><ul><li>Limiting number of interruption per day a) Breakdown b) Preventive Maintenance c) Load-shedding. </li></ul>
  3. 3. <ul><li>Good collection & billing System. </li></ul><ul><li>To reduce Outage Time. </li></ul><ul><li>To stop Power theft. </li></ul><ul><li>To provide better services to the consumers. </li></ul><ul><li>To have stabilized Asset Management System. </li></ul><ul><li>Safety- Zero fatality rate. </li></ul>Expectations of Power Utility
  4. 4. 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
  5. 5. 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
  6. 6. System Architecture
  7. 7. Need for GIS <ul><li>Impressive progress in power sector, but still insufficient. </li></ul><ul><li>Demand </li></ul><ul><li>Widening gap between demand and supply </li></ul><ul><li>due to T& D losses amounting to 25% in the </li></ul><ul><li>Supply distribution link. </li></ul>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
  8. 8. Estimates of Implementing GIS at Delhi <ul><li>Initiatives taken by GIS group established at Central Technical Services of the company are as follows - </li></ul><ul><li>Development of Functional Requirements and Data Model . </li></ul><ul><li>Updating of Reliance Corporate Land base Maps. </li></ul><ul><li>Capturing the entire EHV/HV network. </li></ul><ul><li>Capturing the entire LV network. </li></ul><ul><li>Capturing Consumer Information. </li></ul><ul><li>In House Digitization and field QC. </li></ul><ul><li>Consultancy Services by REL </li></ul>
  9. 9. Updating of Reliance Corporate LAND base Maps <ul><li>Integrated large scale corporate land base map prepared based on RICs data requirements with base data as IKONOS imagery imported from Space Imaging. </li></ul><ul><li>IKONOS imagery digitized by RDWL team through network of digitization vendors. </li></ul><ul><li>Maps supplemented with field survey information conducted by contractors identified by RDWL. </li></ul><ul><li>Flaw in above system – Information updated by RDWL was insufficient for locating Electrical network and individual Consumer Service points. </li></ul><ul><li>Solution – * Updating of all buildings with service </li></ul><ul><li>line feeding </li></ul><ul><li>* Including all new transport features including </li></ul><ul><li>road, railway, flyovers. </li></ul>Codification Guidelines of RDWL <ul><li>Providing unique id to all building for its identification. </li></ul><ul><li>Linking it with its consumer/service line. </li></ul>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  
  10. 10. Development of Functional Requirements and Data Models <ul><li>ESRI / M&M appointed as GIS service providers by REL ( on behalf of BRPL and BYPL ) for </li></ul><ul><li>- studying existing system. </li></ul><ul><li>- developing functional requirement for proposed GIS. </li></ul><ul><li>GIS Tools – </li></ul><ul><li>* COTS available platforms from ESRI. </li></ul><ul><li>* Third party applications from Miner and Miner. </li></ul><ul><li>* Customer Applications for GIS interfaces for integration with other applications </li></ul><ul><li>- SAP (ISU-CCS for Consumer Information). </li></ul><ul><li>- SAP (PM) for Operations and Maintenance. </li></ul><ul><li>- Cymedist Interface for Network Analysis. </li></ul><ul><li>- GIS Interface for SCADA system. </li></ul>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 .
  11. 11. Capturing Entire EHV/HV Network <ul><li>Phase 1 </li></ul><ul><li>The GIS data dictionary included the entire network of EHV and HV. </li></ul><ul><li>EHV Grid Stations and their equipments. </li></ul><ul><li>11/0.44 kv substations and their equipments. </li></ul><ul><li>66.33 and 11 kv feeders. </li></ul>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  
  12. 12. Capturing the entire LV Network <ul><li>Phase 2 </li></ul><ul><li>Capturing LV network </li></ul><ul><li>Features captured – </li></ul><ul><li>Consumer Feeding Points </li></ul><ul><li>* LV Support Structures </li></ul><ul><li>* LV Feeder Pillars </li></ul><ul><li>* Street Light Structures </li></ul><ul><li>LV Feeder Network (0.44 kv ) connectivity </li></ul>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  
  13. 13. 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.
  14. 14. Capturing Consumer Information <ul><li>Non-availability of accurate consumer records had been one of the main reasons for commercial losses. </li></ul><ul><li>GIS based consumer indexing has been carried out by many DISCOMS / SEBs, without much of a fruitful result. </li></ul><ul><li>At BSES, Delhi it is at a conceptual; stage and different models are being evaluated for collecting consumer information </li></ul><ul><li>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. </li></ul>Cost Estimates for Consumer Data Collection 7 13 1,906,000 7 Consumer Consumers Cost Per Consumer Total Cost (Mn) Qty. Unit Cost Unit  
  15. 15. Skeleton of GIS SCADA NO CIS SAP OMS CIS DATA
  16. 16. INTEGRATION AS A CONCEPT
  17. 17. <ul><li>Use work process flows to define touchpoints </li></ul><ul><li>of integration to support business processes </li></ul><ul><li>Use enterprise and process modeling </li></ul><ul><li>to describe how data and components </li></ul><ul><li>service the needed business processes </li></ul><ul><ul><li>Shared data doubles the accuracy and quality requirements </li></ul></ul><ul><ul><li>look at the data from each systems perspective (financial vs. operations ) </li></ul></ul>INTEGRATION AS A CONCEPT When Should Integration be Considered? <ul><li>Data/applications exist in many places </li></ul><ul><li>Merger/acquisition of requirements </li></ul><ul><li>Supporting thousands of users </li></ul><ul><li>with many different requirements </li></ul><ul><li>Scalability </li></ul>Why integration? Benefits of Integration <ul><li>Reduces cost of connecting components and adding/changing components. </li></ul><ul><li>Adds value to business processes </li></ul><ul><li>Enforces process consistency </li></ul><ul><li>Data Consistency </li></ul>Metrics -- Measuring Integration Success <ul><li>Customized for the organization </li></ul><ul><li>Tie Benefits and Metrics </li></ul><ul><ul><li>Customer service measurements </li></ul></ul><ul><ul><li>related to more up-to-date information </li></ul></ul><ul><li>How can Integration… </li></ul><ul><ul><li>increase revenue? </li></ul></ul><ul><ul><li>improve customer service? </li></ul></ul><ul><ul><li>give more information about our business? </li></ul></ul>
  18. 18. 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
  19. 19. 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
  20. 20. 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
  21. 21. Electric Network Trace
  22. 22. LT NETWORK Service Line Service Point
  23. 23. SLD WITH REF-ID
  24. 24. SUPPORT STRUCTURE WITH ATTRIBUTES
  25. 25. CONSUMER DATA
  26. 26. Consultancy Services by REL <ul><li>It is proposed that REL will be appointed as technical consultant to BRPL and BYPL and carry out management services including – </li></ul><ul><li>Survey and digitization </li></ul><ul><li>Procurement and contracting </li></ul><ul><li>Contract management and monitoring </li></ul><ul><li>QA and QC </li></ul><ul><li>Hardware and Software </li></ul><ul><li>Application testing </li></ul><ul><li>Migration and hosting services for application and database at DAKC </li></ul>
  27. 27. Load growth planning Using Geo-referenced data
  28. 28. Distribution Management thru’ integrated GIS <ul><li>Load Calibration (LC), Load Flow Calculation (LFC) </li></ul><ul><li>Switching Orders based on minimum Loss path </li></ul><ul><li>Static spatial connection and dynamic behavior of organizational model & equipment model </li></ul><ul><li>Switch and switch status telemetry superimposed with cable/conductor type & length </li></ul><ul><li>Electrical parameters (R, X, B, G ) derived there from to give loss data and options </li></ul><ul><li>Voltage profiling with load data superimposed on above </li></ul><ul><li>Power quality and THD </li></ul><ul><li>Distance relay zones superimposed on map to give nearest fault location </li></ul><ul><li>Fault Isolation and switching restoration options </li></ul>
  29. 29. Estimated Benefits of GIS <ul><li>As per estimation, GIS will benefit by decreasing both Commercial and Technical losses. </li></ul><ul><li>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. </li></ul>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
  30. 33. Estimating Return on Investments <ul><li>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. </li></ul>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  
  31. 34. Thank You

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