• DocumentCode
    1895686
  • Title

    Reconfiguration of Distribution Network Based on Improved Plant Growth Simulation Algorithm

  • Author

    Yu Yong-zhe ; Huang Jia-dong ; Ren Jing

  • Author_Institution
    Power Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    387
  • Lastpage
    391
  • Abstract
    A new distribution network reconfiguration method employing plant growth simulation algorithm as optimal means has been presented. The algorithm handles the objective function and constraints separately, and adopts directional search mechanism. It can avoid falling into local optimal point, which may appear in precious bionics random algorithms due to uncertainness of some parameters and/or without guiding search direction. Moreover, according to the features of distribution network, an improved expressing scheme, using switch as variables is also developed, which is simple and dramatically reduces the dimension of variable and improves the efficiency of calculation. At the same time, the functioning method of the switch is described in four states which can effectively decreases the search scope in optimizing process. To verify the effectiveness of the proposed method, comparative studies are conducted on IEEE69 bus sample systems with rather encouraging results.
  • Keywords
    distribution networks; search problems; IEEE69 bus sample systems; bionics random algorithms; directional search mechanism; distribution network; plant growth simulation algorithm; power systems; Computational modeling; Computer networks; Convergence; Distributed computing; Intelligent networks; Optimization methods; Power engineering; Power engineering computing; Power system simulation; Switches; Distribution network reconfiguration; distribution network; improved plant growth simulation algorithm; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.101
  • Filename
    5287631