• DocumentCode
    2882385
  • Title

    Market based operation and planning-simulation and analysis

  • Author

    Sheblé, Gerald B.

  • Author_Institution
    Iowa State Univ., Ames, IA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    42522
  • Lastpage
    615
  • Abstract
    The author describes how, in the deregulated electricity market, much power will be traded in regional commodity exchanges. He argues that: electricity traders will need good bidding strategies to survive in competitive trading; and fuzzy logic provides a means of building adaptive bidding strategies. Current research has shown that genetic algorithms provide a convenient way of fine tuning and testing various bidding strategies and that GAs can also be used to perform intelligent data mining and can infer other´s bidding rules
  • Keywords
    electricity supply industry; adaptive bidding strategies; competitive trading; deregulated electricity market; electricity traders; fuzzy logic; genetic algorithms; intelligent data mining; market-based power system operation; market-based power system planning; regional commodity exchanges;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Economics of Energy Markets (Ref. No. 1999/132), IEE Colloquium on
  • Conference_Location
    Dublin
  • Type

    conf

  • DOI
    10.1049/ic:19990711
  • Filename
    771852