• DocumentCode
    2932769
  • Title

    Reconfiguration in Distribution Systems Based on Refined Genetic Algorithm for Improving Voltage Quality

  • Author

    Zou Bi-chang ; Gong Qing-wu ; Li Xun ; Chen Dao-jun

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a new network reconfiguration approach is presented in which the voltage balance index is taken for the objective function and the optimal structure of distributed network can be found through the refined genetic algorithm (RGA). In the meantime, by simplifying the distribution network, the length of chromosome is reduced and the efficiency of the algorithm is increased. The calculations show that with this method not only the voltage profile can be improved, but also the aim of reducing the network loss can be obtained. At last, a practical calculation example is given to validate the feasibility of the method.
  • Keywords
    distribution networks; genetic algorithms; distribution network; distribution systems; objective function; optimal structure; reconfiguration; refined genetic algorithm; voltage balance index; voltage quality; Biological cells; Gallium; Genetic algorithms; Indexes; Load flow analysis; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748689
  • Filename
    5748689