• DocumentCode
    892449
  • Title

    An electricity market with a probabilistic spinning reserve criterion

  • Author

    Bouffard, François ; Galiana, Francisco D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    19
  • Issue
    1
  • fYear
    2004
  • Firstpage
    300
  • Lastpage
    307
  • Abstract
    This paper addresses the problem of reliability-constrained market-clearing in pool-based electricity markets with unit commitment. In general, probabilistic reliability criteria that implicitly set the reserve requirement are defined by the loss-of-load probability and by the expected load not served. As the computation of such metrics is complicated by their nonlinear and combinatorial nature, we introduce the notion of hybrid metrics based on the probabilities of loss-of-load due to single and double generation outages only. The reliability-constrained market-clearing problem can then be formulated as a mixed-integer linear program and solved with large-scale commercial solvers. Numerical tests with data from the IEEE Reliability Test System indicate that the new method is computationally efficient and produces market-clearing results with the desired probabilistic characteristics.
  • Keywords
    computational complexity; integer programming; linear programming; power markets; power system reliability; probability; IEEE reliability test system; computational complexity; double generation outages; expected load not served; hybrid metrics; large-scale commercial solvers; loss-of-load probability; mixed integer-linear programming; pool-based electricity market; probabilistic spinning reserve criterion; reliability-constrained market-clearing problem; scheduling; single generation outages; unit commitment; Costs; Councils; Electricity supply industry; Hybrid power systems; Large-scale systems; Linear programming; Power engineering and energy; Power generation; Spinning; System testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.818587
  • Filename
    1266582