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Power Supply Adequacy Assessment Model/Methodology Review

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Title: Defining Loss-of-Load Probability For the Northwest Power Supply Author: John Fazio Last modified by: John Fazio Created Date: 9/30/2005 8:10:46 PM – PowerPoint PPT presentation

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Title: Power Supply Adequacy Assessment Model/Methodology Review


1
Power Supply Adequacy AssessmentModel/Methodology
Review
  • Steering Subcommittee Meeting
    January 29, 2010

2
Outline
  • Model Validation
  • Benchmarking Process
  • Sample Historical vs. Simulated Dispatch
  • Methodology Review
  • Current Adequacy Metric LOLP
  • The Problem with LOLP
  • LOLP Subcommittee Suggestions
  • Next Steps

3
Model Validation
  • HYDSIM vs. actual monthly generation
  • GENESYS vs. HYDSIM hydro generation output
  • Hydro peaking calibration
  • Trapezoidal Model/HOSS/Capacity Survey
  • Check random variable distributions
  • Water, wind, forced outage, load/temperature
  • Simulated thermal dispatch vs. historical
    dispatch
  • Simulated hydro dispatch vs. historical dispatch
  • Simulated dispatch vs. schedulers perspective

4
(No Transcript)
5
  • Sample Comparison of Historical vs. Simulated
    Hydro Dispatch
  • Hourly hydro dispatch is highly dependent on
    hourly load shape
  • Historical and Genesys hydro load following is
    consistent
  • Illustrative only based on old data and FW
    constraints

6
Methodology ReviewCurrent Adequacy MetricLOLP
7
GENESYS Simulation
Illustrative Example Only
Cold
Hydro Limited
8
Curtailment Events(Peaking problems and energy
shortages)
Each event has a peak and duration.
9
What do we Count?
  • Ideally, we count significant events (those
    that we want to avoid)
  • Energy threshold (or contingency resource) is
    1,200 MW for one day or 28,800 MW-hours from
    Dec-Mar
  • Capacity threshold (or contingency resource) is
    3,000 MW in any hour from Dec-Mar and from Jun-Sep

10
Curtailment Events(non-events not shown)
11
Loss of Load Probability
Simulated 300 winters (December through March)
Out of 300 winters, 15 had an average curtailment
greater than 10 MW-seasons, which means that the
Winter Loss of Load Probability (LOLP) 15/300
5 percent
12
Energy LOLP(Sum of Curtailed Energy Dec-Mar)
13
The Problem with LOLP
14
Potential Problem with LOLPSame LOLP Bigger
Magnitude
15
Potential Problem with LOLPLower LOLP Bigger
Magnitude
16
LOLP Subcommittee Reportand Recommendations
17
LOLP Subcommittee Report
  • Clearly define all reserve requirements
  • Operating reserves
  • Planning reserves
  • Wind integration reserves
  • Determine which reserve curtailments count toward
    LOLP
  • Add temperature-correlated wind as a random
    variable
  • Decouple temperature and water condition
  • Define a contingency resource for each month of
    the year instead of defining threshold events
  • Record curtailment events across all months of
    the year
  • Consider using other adequacy metrics
  • Continue to assess climate change impacts

18
LOLP Review Status
  • Reserves
  • Work being done by PNUCC committee
  • Temperature-correlated wind
  • BPA working on a test data set
  • Decouple temp and water
  • Done
  • Contingency resource
  • Work needs to be assigned
  • Annual metric
  • Not yet started
  • Other metrics
  • BPA draft methodology
  • PSRI review
  • Climate change
  • Ongoing

19
Next Steps
20
Possible Modifications to the Current Method
  • Replace LOLP with an alternative metric
  • Use LOLP in conjunction with an alternative
    adequacy metric
  • Use LOLP in conjunction with the magnitude of the
    most severe event (or an average of the worst 10
    of events)

21
Examples of Other Adequacy Metrics
  • LOLE loss of load expectation ()
  • Number of hours with curtailment divided by the
    total number of hours simulated
  • Can be more intuitive, i.e. 99.5 reliable
  • Does not address magnitude
  • EUE expected unserved energy (MW-hr)
  • Average amount of unserved energy per year
  • Lacks specific information about severe events

22
Work Plan
  • PSRI review complete by early 2010
  • Benchmark GENESYS by early 2010
  • Tech Committee propose new metric and threshold
    by April of 2010
  • Use new metric to assess 3 and 5 year adequacy by
    June 2010
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