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Comparison of LOLP Practices

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Title: Comparison of LOLP Practices


1
Comparison of LOLP Practices
  • Mary Johannis
  • PNW Resource Adequacy Technical Committee Mtg
  • January 23, 2009

2
NERC Survey Results
3
NERC Survey Results
4
NERC Probabilistic Metrics
  • Loss of Load Probability (LOLP)
  • The probability of load demand not met in a given
    hour. (Midwest Planning Reserve Sharing Group
    (PRSG))
  • The probability that load (above a certain
    threshold) will not be met over a season
    (Northwest Power and Conservation Council) most
    analyses would term this an LOLE evaluation
  • Loss of Load Expectation (LOLE)
  • ? of multiple LOLP values (usually over peak
    hours) over a certain period of time. (Midwest
    PRSG)
  • A loss of load event is described as any single
    hour or group of consecutive hours where load
    exceeds available resources. For example, 1 hour
    alone of unserved energy constitutes a LOLE just
    as 5 consecutive hours of unserved energy
    constitutes an LOLE. (ERCOT)
  • Expected Unserved Energy (EUE)
  • ? of hourly curtailments across all iterations of
    the stochastic simulation (ERCOT), expressed as
    average MWHs over 10 years

5
NERC Possible Common Methods
  • Curtailments Measured
  • LOLP can be measured at the peak hour for 260
    days (excluding weekends), for 360 days, over all
    hours of a season, over all 8760 hours in a year
  • LOLE is ? of LOLP over time
  • EUE is typically synonymous with Energy Not
    Served ENS, measured in MWh, across all
    iterations of the stochastic simulation
  • What is a Loss of Load (LOL) Occurrence?
  • Single instance in ability to serve firm load
  • Sometimes the LOL occurrence also includes
    operating reserves
  • Methodology may allow activation of Emergency
    Operating Procedures to avoid LOL occurrence
  • ? of curtailments over period. In Northwest,
    season is not counted as an LOL occurrence unless
    curtailment is above minimum energy or capacity
    threshold

6
NERC Survey Conclusions
  • Good reasons for different analyses
  • Resource mix e.g. large amounts of
    energy-limited resources dictate different
    analysis than in a capacity constrained system
  • Transmission limitations deliverability needs to
    be considered if system with significant
    congestion
  • Lack of fuel diversity evaluate whether fuel
    transportation/ storage is a reliability issue
  • Does LOLE target of 0.1 day imply the same level
    of reliability for all Regions?
  • Need to speak a common language ? Definition of
    Best Practices for Resource Adequacy Assessment
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