• DocumentCode
    1985862
  • Title

    The planning of electric vehicle charging station based on Grid partition method

  • Author

    Ge, Shaoyun ; Feng, Liang ; Liu, Hong

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ. Tianjin, Tianjin, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    2726
  • Lastpage
    2730
  • Abstract
    The paper proposed a method of locating and sizing of charging station for electric vehicle based on grid partition. This method is aimed at minimizing the users´ loss on the way to the charging station, zoning the planning area with grid partition method, and choosing the best location of each partition in GA (Genetic Algorithm) on the consideration of traffic density and charging station´s capacity constraints. Through repeated calculations and adjusting the coverage of each partition and the sites of charging stations, this paper will finally get the reasonable planning of electric vehicle charging station in the whole area. The practical example proves that the methods and models in this paper are feasible.
  • Keywords
    electric vehicles; genetic algorithms; power grids; power system planning; GA; charging station capacity constraints; electric vehicle charging station planning; genetic algorithm; grid partition method; traffic density; Capacity planning; Electric vehicles; Equations; Genetic algorithms; Mathematical model; Planning; Roads; electric vehicle; genetic algorithm; grid partition method; planning of charging station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057636
  • Filename
    6057636