Regression analysis: Simple Linear Regression Multiple Linear Regression
How smart grid metrics will define the modern utility
1. A collaboration of:
How Smart Grid Metrics will Define the
Modern Utility
Chris Chen
San Diego Gas & Electric
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. • 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. 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. 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. • 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. 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. 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. 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. • 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. • 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. • 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
