• DocumentCode
    541210
  • Title

    Optimal planning of substation locating based on GIS and refined multi-team PSO algorithm

  • Author

    Gao Qing-min ; Zhang Qian-ye

  • Author_Institution
    North China Univ. of Water Conservancy & Hydroelectric Power, Zhengzhou, China
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new intelligent algorithm, improved particle swarm optimization algorithm, is presented to handle optimal substation locating problem. Simulated annealing and mutation operator will be considered to introduce in this PSO algorithm, so it guarantee the multiplicity of colony in the computational initial period and enhance the optimization decimal of the algorithm in the later period. The paper firstly introduces the geographic information as Metadata factor into the model. Through an analysis of the examples, the paper finally provides a reference to the distribution network planning and construction.
  • Keywords
    particle swarm optimisation; power distribution; power system planning; simulated annealing; substations; GIS; Metadata factor; distribution network planning; intelligent algorithm; multi-team PSO algorithm; mutation operator; optimal planning; particle swarm optimization algorithm; simulated annealing; substation; Annealing; Simulated annealing; Substations; Geographic information system (GIS); particle swarm optimization; substation locating;
  • 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
    5735912