• DocumentCode
    522843
  • Title

    Modified Genetic Algorithm in Power System Application

  • Author

    Zhuang, Xu

  • Author_Institution
    Northeast Dianli Univ., Jilin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    Reactive power optimization is an effective method for improving the electricity quality and reducing the power loss in power system. Reactive power optimization is a higher dimensional, nonlinear and complicated optimizing problem, in which continuous and discrete variables coexist. This article presents "cataclysmic GA", combining the “Roulette Wheel” and “Tournament”. Self-adaptive adjusting operators in GA based on the number of iterate and performance of units, speeds up the con-vengeance. The IEEE6 power system, are taken in optimization.
  • Keywords
    genetic algorithms; power supply quality; power systems; reactive power; IEEE6 power system; cataclysmic GA; electricity quality; modified genetic algorithm; power loss reduction; power system application; reactive power optimization; self-adaptive adjusting operators; Encoding; Equations; Genetic algorithms; Hybrid power systems; Linear programming; Optimization methods; Power systems; Reactive power; Search methods; Voltage; generic algorithm; reactive power optimization; self-adaptive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.171
  • Filename
    5513844