• DocumentCode
    541212
  • Title

    Intelligent optimization algorithm for the locating and sizing of distributed generation planning

  • Author

    Liu, Bo ; Yuan, Zhiqiang ; Bao, Hailong

  • Author_Institution
    Shanghai Electr. Power Design Inst. Co., Ltd., Shanghai, China
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper analyses the influence of network loss when distribution generation (DG) access to distribution network, and presents an intelligent optimization algorithm to optimize the locating and sizing of DG based on modified particle swarm optimal (PSO) algorithm. The purposed algorithm is to find how much distribution network loss can be further reduced. With an example the superiority of the proposed algorithm is demonstrated in comparison with the genetic algorithms. The calculation results show that the proposed algorithm to solve the problem of distributed generation planning has strong global search ability and rapid convergence speed.
  • Keywords
    genetic algorithms; power distribution planning; power generation planning; distributed generation planning; distribution network loss; genetic algorithms; global search ability; intelligent optimization algorithm; modified particle swarm optimal algorithm; rapid convergence speed; Annealing; Convergence; Gallium; Optimization; Reliability; Substations; Distribution generation; distribution network; intelligent optimization algorithm; locating and Sizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2010 China International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-0066-8
  • Type

    conf

  • Filename
    5735915