• DocumentCode
    2515873
  • Title

    Power system performance enhancement using computational swarm intelligence

  • Author

    Jeyasurya, Benjamin

  • Author_Institution
    Fac. of Eng. & Appl. Sci, Memorial Univ. of Newfoundland, St. John´´s, NL
  • fYear
    2008
  • fDate
    6-7 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The challenges of operating present day power systems are increasing. The goals are to maintain security at the lowest possible cost. Computational Intelligence based methods have the potential to provide solutions that will be useful to enhance the performance of a power system. A swarm intelligence based method is investigated in this paper for economic dispatch of a power system. Case studies using two power system models are presented to illustrate the proposed method.
  • Keywords
    load dispatching; optimisation; power system economics; power system security; computational swarm intelligence; economic dispatch; power system economics; power system performance enhancement; power system security; Biological system modeling; Competitive intelligence; Computational intelligence; Particle swarm optimization; Power generation economics; Power system dynamics; Power system economics; Power system modeling; Power system security; Power systems; Power system optimization; computational intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Conference, 2008. EPEC 2008. IEEE Canada
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-2894-6
  • Electronic_ISBN
    978-1-4244-2895-3
  • Type

    conf

  • DOI
    10.1109/EPC.2008.4763322
  • Filename
    4763322