• DocumentCode
    2291744
  • Title

    An immune genetic algorithm based approach for distribution system reconfiguration

  • Author

    An Wen-dou ; Zhou Quan ; Zhang Xin ; Qin Yuzhong ; Chen Weigen

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    In this paper, a bio-immune mechanism based genetic algorithm (GA) optimization approach for the reconfiguration of distribution system is proposed. Some mathematical methods such as memorial property, diversity and self-adaptive feature of the natural immune system are introduced which prevent premature problem of GA effectively and acquire global optimum with high speed during the iterative procedure. Moreover, a coding strategy, representing distribution system features, is adopted which codes the switches of the tie switch-decided loop in the same chromosome. The improved coding strategy can effectively prohibit invalid solution, reduce search space and accelerate speed. A 33-bus distribution system is tested and the corresponding results demonstrate the effectiveness and feasibility of the proposed method for application.
  • Keywords
    distribution networks; genetic algorithms; chromosome; coding strategy; distribution system reconfiguration; immune genetic algorithm; iterative procedure; mathematical methods; memorial property; natural immune system; tie switch-decided loop; Biological cells; Encoding; Immune system; Load flow analysis; Optimization; distribution system; immune genetic algorithm; immune mechanism; reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583359
  • Filename
    5583359