• DocumentCode
    2894300
  • Title

    Distribution network reconfiguration with distributed power based on genetic algorithm

  • Author

    Shu-jun, Yao ; Zhi, Yan ; Yan, Wang ; Yu-xin, Yan ; Xiao-yan, Song

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    6-9 July 2011
  • Firstpage
    811
  • Lastpage
    815
  • Abstract
    This paper focuses on distributed power(DG) impact on distribution network and distribution network reconfiguration algorithms. First the article describes the impact of DG on distribution networks failure reconfiguration, Then set reconfiguration evaluation model based on Wind turbine as a specific DG, based on the above, adjust the fitness function structure of Improved genetic algorithm. Meanwhile, this selection operator using the tournament selection method combined with elitist selection method approach in order to make the Selection operator of genetic algorithm focus on the fitness value compared and keep high fitness individuals. Finally, test examples show that the algorithm is reasonable and effective.
  • Keywords
    distribution networks; genetic algorithms; wind turbines; distributed power; distribution network reconfiguration; distribution networks failure reconfiguration; elitist selection method; genetic algorithm; reconfiguration evaluation model; selection operator; tournament selection method; wind turbine; Convergence; Genetic algorithms; Genetics; Power systems; Switches; Wind speed; Wind turbines; Distributed Power; Distribution network; GA; Network reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
  • Conference_Location
    Weihai, Shandong
  • Print_ISBN
    978-1-4577-0364-5
  • Type

    conf

  • DOI
    10.1109/DRPT.2011.5994003
  • Filename
    5994003