• DocumentCode
    753532
  • Title

    Congestion influence on bidding strategies in an electricity market

  • Author

    Peng, Tengshun ; Tomsovic, Kevin

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    18
  • Issue
    3
  • fYear
    2003
  • Firstpage
    1054
  • Lastpage
    1061
  • Abstract
    Much of the research on bidding strategies in an electricity market has focused on idealized situations where participants have limited market power and the transmission system is not constrained. Yet, congestion may act to effectively give a bidder market power, and consequently the ability to influence the market clearing price. In such a noncompetitive situation, the bidding strategies of market participants will change. In this paper, the electrical power market is modeled as an oligopoly market and the Cournot quantity model is applied to the bidding strategy problem. The bidding process with congestion management is modeled as a three level optimization problem. A statistical methodology is then proposed as a solution for large systems.
  • Keywords
    optimisation; power markets; statistical analysis; transmission networks; Cournot quantity model; Nash equilibrium; bidding strategies; congestion influence; congestion management; electricity market; market clearing price; mixed strategy equilibrium; noncompetitive situation; oligopoly market; statistical methodology; three level optimization problem; transmission system; Decision making; Electricity supply industry; Game theory; Nash equilibrium; Oligopoly; Power markets; Power system management; Power system modeling; Pricing; Statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.810893
  • Filename
    1216146