• DocumentCode
    878680
  • Title

    Implementation of genetic algorithm for distribution systems loss minimum re-configuration

  • Author

    Nara, Koichi ; Shiose, Atsushi ; Kitagawa, Minoru ; Ishihara, Toshihisa

  • Author_Institution
    Hiroshima Univ., Japan
  • Volume
    7
  • Issue
    3
  • fYear
    1992
  • fDate
    8/1/1992 12:00:00 AM
  • Firstpage
    1044
  • Lastpage
    1051
  • Abstract
    The loss minimum reconfiguration problem in the open loop radial distribution system is basically one of complex combinatorial optimization, since the normal open sectionalizing switches must be determined appropriately. The genetic algorithm was successfully applied to the loss minimum reconfiguration problem. In the proposed algorithm, strings consist of sectionalizing switch status or radial configurations, and the fitness function consists of the total system losses and penalty value of voltage drop and current capacity violations. The loss minimum reconfiguration problem is formulated as a mixed integer programming problem. The essential components of the genetic algorithm are briefly described. A detailed solution methodology by the use of genetic algorithm is outlined. Numerical examples demonstrate the validity and effectiveness of the proposed methodology
  • Keywords
    distribution networks; losses; combinatorial optimization; current capacity; fitness function; genetic algorithm; loss minimum reconfiguration problem; mixed integer programming problem; normal open sectionalizing switches; open loop radial distribution system; voltage drop; Computational modeling; Genetic algorithms; Linear programming; Mathematical programming; Minimization methods; Neural networks; Power engineering computing; Power systems; Simulated annealing; Switches;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.207317
  • Filename
    207317