• DocumentCode
    807533
  • Title

    Analyzing oligopolistic electricity market using coevolutionary computation

  • Author

    Chen, H. ; Wong, K.P. ; Nguyen, D.H.M. ; Chung, C.Y.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., China
  • Volume
    21
  • Issue
    1
  • fYear
    2006
  • Firstpage
    143
  • Lastpage
    152
  • Abstract
    This paper presents a new unified framework of electricity market analysis based on coevolutionary computation (CCEM) for both the one-shot and the repeated games of oligopolistic electricity markets. The standard Cournot model and the new Pareto improvement model are used. The linear and constant elasticity demand functions are considered. Case study shows that CCEM is highly efficient and can handle the nonlinear market models that are difficult to be handled by conventional methods. The framework presented in this paper can help to overcome the difficulties of demand function specification encountered by the Cournot models. CCEM is found to be an effective and powerful approach for electricity market analysis.
  • Keywords
    Pareto analysis; oligopoly; power markets; power system economics; Pareto improvement mode; coevolutionary computation; constant elasticity demand functions; linear functions; nonlinear market models; oligopolistic electricity market; standard Cournot model; Computational modeling; Costs; Councils; Elasticity; Electric variables measurement; Electricity supply industry; Electricity supply industry deregulation; Oligopoly; Power measurement; Standards development; Coevolutionary computation (CCEM); Cournot oligopoly; Pareto improvement; market simulation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2005.862005
  • Filename
    1583709