• DocumentCode
    3045404
  • Title

    Improved Genetic Algorithm with Infeasible Solution Disposing of Distribution Network Reconfiguration

  • Author

    Yu, Jianming ; Zhang, Fan ; Ni, Feng ; Ma, Yuanshe

  • Author_Institution
    Xi´´an Univ. of Technol., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    An improved genetic algorithm with infeasible solution disposing of distribution network reconfiguration is proposed in this paper. Decimal encoding is improved and size of chromosome equals to the count of tie switches. Not only the discrimination of infeasible solution but also its corrective disposition under complex loops is given. In the evolution course, the ratio of feasible solution is 1, the valuable information that reflects the evolution is preserved mostly, and the problem of low efficiency and local optimum is avoided. Make the crossover and mutual operator adjusted adaptively and nonlinearly, enhances the convergence rate. The reconfiguration results of 69 bus system shows the feasibility and validity of the proposed method.
  • Keywords
    distribution networks; genetic algorithms; bus system; chromosome; decimal encoding; distribution network reconfiguration; genetic algorithm; tie switches; Genetic algorithms; Intelligent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.194
  • Filename
    5209208