• DocumentCode
    1777685
  • Title

    Industrial enterprise distribution network planning based on multiple population genetic algorithm

  • Author

    Lei Yang ; Shiqing Li ; Nan Xiong ; Sanmin Xu

  • Author_Institution
    Inst. of Electr. Eng., Beijing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    550
  • Lastpage
    555
  • Abstract
    In the view of existing contradiction between solving current problems and long-term planning in the industrial enterprise distribution network, the paper has combined recent planning and long-term planning and constructed mathematical model of multi objectives and multi constraints. A multi population genetic algorithm is adopted to solve the model. It can not only enhance the global search ability but also improve the convergence speed and prevent the premature problem. In the process of solving, we use graph theory to repair infeasible solutions and ensure the feasibility of the solution. Results of the example show that the performance of the proposed method is excellent.
  • Keywords
    genetic algorithms; power distribution planning; industrial enterprise distribution network planning; long term planning; multiconstraint optimization; multiobjective optimization; multiple population genetic algorithm; Genetic algorithms; Maintenance engineering; Mathematical model; Planning; Power systems; Sociology; Statistics; Distribution net work planning; Industrial enterprise; Multi objective and multi constrains; Multi population genetic algorithm; Radiation network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993762
  • Filename
    6993762