• DocumentCode
    3090257
  • Title

    A multi-objective solution for deregulated power markets

  • Author

    Huang, Garng ; Zhao, Qing

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    641
  • Abstract
    In this paper, a new market allocation method is proposed and the deregulated power market is formulated as a multi-objective optimization problem. An efficient algorithm that exploits simplicity out of a complex search to speed up the searching process is proposed and solves this problem accurately
  • Keywords
    costing; electricity supply industry; optimisation; power system economics; complex search; deregulated power markets; market allocation method; multi-objective optimization problem; multi-objective solution; searching process; Cost function; Electricity supply industry deregulation; Fluctuations; Genetic algorithms; Optimization methods; Power markets; Power system interconnection; Power system modeling; Power system security; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 1999. IEEE
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    0-7803-5569-5
  • Type

    conf

  • DOI
    10.1109/PESS.1999.787392
  • Filename
    787392