• DocumentCode
    1633428
  • Title

    The improving GA coding and decoding techniques for distribution network reconfigurations

  • Author

    Xiaoming, Li ; Yanhao, Huang ; Xianggen, Yin

  • Author_Institution
    Dept. of Electr. Eng., Wuhan Univ., China
  • Volume
    1
  • fYear
    2004
  • Firstpage
    79
  • Abstract
    When a genetic algorithm (GA) is used for power distribution network reconfiguration, it is important to improve coding and decoding techniques based on the characteristics of distribution networks in order to enhance the algorithm´s efficiency. A loop coding technique is presented; it can efficiently reduce the length of a chromosome by taking out the branches (breakers) that are not included in any loops from the branches included in the chromosome. A new decoding technique is also proposed; it can be used efficiently to solve the objective function. A test computation is presented; it proves these techniques are efficient and practicable, and they can be used in power distribution network reconfigurations.
  • Keywords
    binary codes; genetic algorithms; power distribution planning; trees (mathematics); GA coding techniques; GA decoding techniques; binary coding; genetic algorithm efficiency enhancement; loop coding technique; objective function; power distribution network reconfiguration; tree decoding; Biological cells; Computer networks; Decoding; Distributed computing; Genetic algorithms; Load flow; Network topology; Power supplies; Power systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2004. UPEC 2004. 39th International
  • Conference_Location
    Bristol, UK
  • Print_ISBN
    1-86043-365-0
  • Type

    conf

  • Filename
    1491967