• DocumentCode
    1896592
  • Title

    An Improved Particle Swarm Optimization Algorithm and Application in Available Transfer Capability

  • Author

    Wang, Qing-ran ; Zhang, LI-ZI

  • Author_Institution
    Res. Center for Electr. Market, North China Electr. Power Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    With electricity market reformation more deepening, available transfer capability is important public information for transaction participants in the deregulated power industry. Considering the calculation difficulties, the paper analyses the essence of ATC and the defects of existing solution methods, and a new improved particle swarm optimization model is established, the particle swarm optimization algorithm is introduced to reduce the computing time of settling the model which elevates the applicability of the particle swarm optimization algorithm and accelerates its convergence. At last, an improved dissipative operation model is constructed with the theory of dissipation which effectively overcomes the shortcoming of earliness.
  • Keywords
    particle swarm optimisation; power markets; ATC; available transfer capability; convergence; dissipative operation model; electricity market reformation; particle swarm optimization algorithm; power industry deregulation; Acceleration; Algorithm design and analysis; Automation; Electricity supply industry; Electricity supply industry deregulation; Optimization methods; Particle swarm optimization; Power generation economics; Power industry; Power system interconnection; Available Transfer Capability; economic dispatch; particle swarm optimization; regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.65
  • Filename
    5287667