• DocumentCode
    465916
  • Title

    Two-phase Particle Swarm Optimization for Load Flow Analysis

  • Author

    Ting, T.O. ; Wong, K.P. ; Chung, C.Y.

  • Author_Institution
    Hong Kong Polytech Univ., Hung Hom
  • Volume
    3
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    2345
  • Lastpage
    2350
  • Abstract
    In this work, PSO is applied to solve power flow problem. For efficient search, some parameters in PSO are investigated and parameter sensitivity analyses are carried out to find the optimum value for the relevant parameters. We further recommend a set of optimal PSO settings applied in Two-phase Particle Swarm Optimization in tackling power flow problem. Results show remarkable improvement in comparison to original PSO and Constrained Genetic Algorithm Power Flow (CGAPF).
  • Keywords
    load flow; particle swarm optimisation; sensitivity analysis; load flow analysis; parameter sensitivity analysis; two-phase particle swarm optimization; Genetic algorithms; Load flow; Load flow analysis; Nonlinear equations; Particle swarm optimization; Power electronics; Power system modeling; Power system planning; Power system stability; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385213
  • Filename
    4274219