• DocumentCode
    968716
  • Title

    Hybrid constrained genetic algorithm/particle swarm optimisation load flow algorithm

  • Author

    Ting, T.O. ; Wong, Kit Po ; Chung, C.Y.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong
  • Volume
    2
  • Issue
    6
  • fYear
    2008
  • fDate
    11/1/2008 12:00:00 AM
  • Firstpage
    800
  • Lastpage
    812
  • Abstract
    A hybrid constrained genetic algorithm and particle swarm optimisation (PSO) method for the evaluation of the load flow in heavy-loaded power systems is developed. The new algorithm is applied to find the maximum loading points of three IEEE test systems. The experimental determination of the best values of the parameters for use in the PSO part of the hybrid algorithm is also reported.
  • Keywords
    genetic algorithms; load flow; particle swarm optimisation; IEEE test systems; heavy-loaded power systems; hybrid constrained genetic algorithm; load flow algorithm; particle swarm optimisation;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd:20070224
  • Filename
    4663091
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=968716