Transcript PG&E’s 2009 Participating Load Pilot

PG&E’s
2009 Participating Load
Pilot
Overview
 Regulatory Context
 Pilot Characteristics
 Lessons
 Next Steps
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Regulatory Context
December
2007
Federal Energy Act of 2007 (EISA 2007)
February
2008
CPUC directs CA IOUs to further integrate Demand
Resource in wholesale markets
October
2008
FERC issues No. 719
December
2008
CPUC approves pilots that integrate in CAISO
wholesale market
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Participating Load Pilot
Can we create demand response for the
wholesale market with the attributes of
supply side alternatives?
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“What is Participating Load?”
 Load acting as a resource to:

Participate in the wholesale market and offer ancillary service
and energy products
 Load resource must be scheduled daily on an hourly
basis, even without the DR load reduction:

Separated from overall load schedules
 Must meet all CAISO technical specifications; e.g., 5-
minute settlement metering, 10-minute responses, 4second real time demand meter data, etc…
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Pilot Characteristics
CAISO ADS
 Customer recruitment:

Retail (HVAC),
Industrial (Process),
Local Gov. Office (HVAC)

No co-generation or back up
generation

Already on Auto-DR
 Customer benefits:

Receive Capacity + Energy (if
called) incentives

Able to receive real-time data

Convenience and ease by
having pre-determined load
shed strategies; peace of mind
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Pilot Characteristics
 For real time meter data, PG&E used real time equipment to
harvest meter data from end use sites transmit to the CAISO.

Transmit meter data in 4-seconds.

Communication must be running at all times even without DR bids.
 Setup node points in CAISO’s EMS and Full Network Model
(FNM) database.
 For notification of a dispatch events, once CAISO initiates the
event, Auto-DR triggers the customers’ pre-determined load
shed strategies within the customers’ EMS and sends an email
alerting the customer of an event.
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Pilot Operations
 Pilot ran from July 29th to October 31st



Day-Ahead Non-Spinning
Bid during Monday – Friday
Bid in as both contingency and economic
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Actual 5 min. Data
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Hourly Forecast with reduction
Time of Day
Forecasted Data
23:25
22:45
22:05
21:25
20:45
20:05
19:25
18:45
18:05
17:25
16:45
16:05
15:25
14:45
14:05
13:25
12:45
12:05
11:25
10:45
10:05
9:25
8:45
8:05
7:25
6:45
6:05
5:25
4:45
4:05
3:25
2:45
2:05
1:25
0:45
0:05
Demand (kW)
600
Example of PLP Event
PLP EVENT
500
400
300
200
100
0
Lessons: Technology
 Successful system integration:

Real-time (4-second instantaneous) data delivered
from customers site to CAISO EMS systems

Seamless dispatch from CAISO to customers


Customers did not recognize that an event was
dispatched
Feedback mechanism control between Auto-DR server
to customer
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Lessons: Operations
 Customers responded when called by the
CAISO
 On average, resources were able to respond
within 4 minutes of receiving the dispatches
 A total 16+ hours were called for nonspinning reserves
 More experience should lead to less
forecasting errors
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Lessons: End Use Resources
 Retail and office building customers are ideal
candidates

Dominant use of HVAC load
 Industrial participant less predictable
 High customer satisfaction:

Since everything was automated, customers felt
participation was easier

Events were relatively short and not disruptive
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Next Steps
 2Q 2010: Continue to work on rules surrounding
direct participation with the CPUC
 3Q 2010: CAISO is scheduled to release and operate
“Proxy Demand Resource” which will allow direct
participation
 1Q 2011: Field study for pilot demonstration on
intermittent renewables
 1Q 2011: Submit 2012 – 2014 DR portfolio proposal
to CPUC. Portfolio will include programs that will
have mechanism for bidding into wholesale market
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Questions
Steve McCarty
Director – IDSM
Portfolio Optimization & Metrics
PG&E
[email protected]
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