• DocumentCode
    2611560
  • Title

    The improved clonal genetic algorithm & its application in reconfiguration of distribution networks

  • Author

    Wang, Ji ; Luo, An ; Qi, Mingjun ; Li, Maojun

  • Author_Institution
    Inf. Sci. & Eng. Coll., Nat. Central South Univ., Chang Sha City, Taiwan
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    1423
  • Abstract
    In this paper, a kind of genetic algorithm aiming to power system, i.e. predigestion of distribution networks, chromosome encoding strategy & improved clonal genetic algorithm, is proposed, based on the main genetic operator of clonal genetic algorithm & its nature. It can be used, to reduce the unsolvable code of the distribution system reconfiguration, to enhance the rate of the solvable code and to accelerate the calculating process, by the kind of genetic algorithm. The results of a example distribution system solved by the algorithm indicate the feasibility and validity of applications in distribution system reconfiguration.
  • Keywords
    distribution networks; genetic algorithms; chromosome encoding; clonal genetic algorithm; distribution networks; Acceleration; Biological cells; Biological system modeling; Computational modeling; Convergence; Electronics packaging; Encoding; Genetic algorithms; Intelligent networks; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2004. IEEE PES
  • Print_ISBN
    0-7803-8718-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2004.1397431
  • Filename
    1397431