• DocumentCode
    2444268
  • Title

    An artificial immune algorithm based on bidding of power market

  • Author

    Maojun, Li ; Zhong, Tang

  • Author_Institution
    Dept. of Electr. Eng., Changsha Univ. of Electr. Power, China
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2405
  • Abstract
    This paper presents an artificial immune algorithm simulating the biological immune systems with self-adjustment function, and introduces its basic principle. For the bidding in power markets, this paper gives computation steps of the artificial immune algorithm. The artificial immune algorithm can simultaneously solve unit commitment and economic load distribution, and can expediently handle constraints of bidding in power markets. So the artificial immune algorithm is an effective method of the bidding in power markets.
  • Keywords
    power generation dispatch; power generation economics; power markets; power system economics; artificial immune algorithm; economic load distribution; power market bidding; self-adjustment function; unit commitment; Amino acids; Artificial immune systems; Biological system modeling; Immune system; Mathematical model; Power generation; Power generation economics; Power markets; Power system economics; Power system simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1047216
  • Filename
    1047216