• DocumentCode
    2008483
  • Title

    The study on improved genetic algorithm´s application in under voltage load shedding

  • Author

    Qiang, Wang ; Zhongli, Zhan

  • Author_Institution
    Comput. Sci. Dept., Jilin Technol. Coll. of Electron. Inf., Jilin, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    496
  • Lastpage
    498
  • Abstract
    Under voltage load shedding is an important method of emergency voltage control, according to the realization it can be divided into two ways, centralized and distributed. This paper proposed a centralized algorithm based on the improved genetic algorithm. First, an optimization model for the purpose of stabilizing voltage was established, and genetic algorithm is used to solve this problem, the genetic algorithm was improved by the means of real number encoding. Simulation results show that this algorithm can stabilize voltage with a small cost.
  • Keywords
    encoding; genetic algorithms; load shedding; voltage control; emergency voltage control; genetic algorithm; optimization; real number encoding; stabilizing voltage; voltage load shedding; centralized; genetic algorithm; real number encoding; under voltage load shedding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568350
  • Filename
    5568350