How smart grid metrics will define the modern utility


Published on

Published in: Business, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

How smart grid metrics will define the modern utility

  1. 1. A collaboration of: How Smart Grid Metrics will Define the Modern Utility Chris Chen San Diego Gas & Electric
  2. 2. • ECC 6.0, EHP5 • Regulated Electric & Gas Utility • 1.4 million customers • 1.2 million Smart Meters • 4100 Plug-in Electric Vehicles • 550 EV charging stations • 24,000 Residential Solar Installations (107mW) About SDG&E Slide 2
  3. 3. • SDG&E’s Vision of the Future Utility • California’s Smart Grid Metrics • Implications for Analytics, Asset Management and Customer Engagement • Key points to Take Home • Questions You Get What You Measure
  4. 4. How Is The Future Different? Slide 4 Past 10 years Now Next 10 years Customers No choice “Obligation to buy” from Utility. Some choice. Hard to differentiate services (e.g. free reliability). Choice. Participate in the grid. Pays for services received. Relevant Product Markets Commodity and reliability bundled. Commodity and reliability unbundled. Commodity and reliability unbundled. Utility Obligation to serve. Grid-only services. Obligation to serve. Grid-only services Ability to provide grid and non-Grid services. Rates Return-based. Bundled rates. Tiered bundled rates with cross-subsidies. Accurate price signals and unbundled, performance-based rates.
  5. 5. SDG&E’s Vision and Mission Slide 5 Vision: 5 We provide a sustainable energy platform that enables customer choice and empowers innovation. Mission: Through collaboration with our customers and key stakeholders, we provide safe, reliable, affordable, and environmentally responsible energy solutions they need and value.
  6. 6. • Customer Empowerment/Engagement • Distribution Automation and Reliability • Transmission Automation and Reliability • Asset Management, Safety and Operational Efficiency • Security • Integrated and Cross-Cutting Systems SDG&E’s SG Deployment Plan Slide 6
  7. 7. Smart Grid Metrics (October 2012 results) Customer / AMI Metrics 1) Number / % of advanced meter malfunctions where service is disrupted (.002%) 2) Load impacts from utility DR programs (42 MW summer reduction) 3) Percentage of DR enabled by AutoDR (capacity 6%, critical peak 3%) 4) Number / % of advanced meters with HAN / comparable devices registered (.085%) 5) Number / % of customers on a time variant or dynamic tariff (1.9% - 1.68% large C&I) 6) Number / % of escalated customer complaints related to a) smart meters (116) & b) HANs (39) 7) Number / % of advanced meters replaced before the end of expected useful life (12,667/.918%) 8) Number / % of advanced meter field tests performed at the request of customers (666, 3 failed) 9) Number / % of customers using SDG&E’s web portal to: a) access energy usage information, b)enroll in utility energy information programs or c) who have authorized SDG&E to send energy usage data to a 3rd party (17,649/1.28%) 10)Number of SDG&E Customers Enrolled in a Time Variant Electric Vehicle Tariff (701)
  8. 8. Smart Grid Metrics (October 2012 results) Slide 8 Storage Metric 11) MW & MWh of grid connected energy storage (20 MW, 10.1 MWh in and 7.5 MWh out) Grid Operations Metrics 12) System Average Interruption Duration Index (SAIDI) (574 w/major events/60.6 w/out) 13) System Average Interruption Frequency Index (SAIFI) Major Events Included / Major Events Excluded (1.46 w/major events/0.46 w/out) 14) Momentary Average Interruption Frequency Index (MAIFI) (.267) 15) Number / % of customers / circuits experiencing >12 sustained outages (.03%/1%) 16) Load factors; system and by customer class (54%) 17) Number and total nameplate capacity of customer-owned or operated grid-connected distributed generation facilities (18,096/413.5MW) 18) Total annual electricity deliveries from customer-owned or operated grid-connected distributed generation facilities (1.035.5 GWh – estimate from CEC) 19) Number / % of distribution circuits equipped with automation or control equipment including SCADA (773/77%)
  9. 9. Are These the Right Metrics? • The Folly of Rewarding “A” While Hoping for “B” • What’s Missing? o Environmental o Customer participation in grid management o Revenue protection o Privacy and security • What’s Coming? o Increased use of metrics in rate cases and increased PBR
  10. 10. • SG data impacts WM, like reduced truck rolls from improved fault location, fault isolation, CBM, automated response, etc. Need more integration between systems like CIS AM, WM. o Number of relationships between data points grows exponentially as data grows • Increased availability and regulator demand for metrics, PBR o CPUC wants more data and wants it faster o Increased demand for data flows down from CPUC to every level of operations • SG data enables better asset management, particularly with regard to the demands on our system created by renewable integration: generation forecasting, cust load mgmt, power quality, system stability AM and Operations Impacts Slide 10
  11. 11. • Analytics o Data refreshes: monthly>weekly>daily>? o No longer, “what happened?” but “what’s happening now” • BI becomes the platform for client self-service o “I don’t know what I want, but show me the data” results in… o “Give me everything” o Hana allows SDG&E to take in data and quickly make it available to the client so they can do discovery o Show me the data and I’ll build the report vs. tell us what you want and we’ll build a report (Lumera) o “Value” is in the eye of the beholder Data Mining Implications and Requirements Slide 11
  12. 12. • Key metrics • Real drivers of the modern utility o Regulatory change o Technology advances o Competition • SAP issues and implications Key Points to Take Home
  13. 13. A collaboration of: Chris Chen SDG&E