• DocumentCode
    2057300
  • Title

    The NSGA-II based computation for the multi-objective reconfiguration problem considering the power supply reliability

  • Author

    Jianlin Yang ; Chengqiang Zhou ; Jian Sun ; Jieming Xu ; Jun Qi

  • Author_Institution
    SMEPC, Jinshan Power Supply Co., Shanghai, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The multi-objective reconfiguration model, considering the losses, the compositive voltage deviation and the system reliability, is developed in this paper. The NSGA-II method is applied to solve the model. In the decoding process, the random spanning tree strategy is adopted to avert the emergency of unfeasible solution; in the selection process, any two individuals are compared based on their rank values and crowding distances. In addition, the elitism strategy is also used to make sure that the good individuals in father population can be remained in the evolution process. The results demonstrate the validity and efficiency of the proposed model and algorithm.
  • Keywords
    decoding; genetic algorithms; power distribution reliability; NSGA-II based computation; compositive voltage deviation; decoding process; elitism strategy; multiobjective reconfiguration problem; nondominated sorting genetic algorithm-II; power supply reliability; random spanning tree strategy; Pareto optimal solution; average service unavailability index; non-dominated sorting genetic algorithm-II; random spanning tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508458
  • Filename
    6508458