• DocumentCode
    348725
  • Title

    A genetic-algorithm based scheduling method of charging electric vehicles

  • Author

    Sugii, Yasuyuki ; Tsujino, Katsuhiko ; Nagano, Takafumi

  • Author_Institution
    Electricity Utilization Group, Tokyo Electr. Power Co. Inc., Japan
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    435
  • Abstract
    This paper describes a genetic-algorithm based scheduling method of charging electric vehicles. This method basically determines sub-optimal charging time-table which satisfies a given electric-load versus time curve under the structural constraint of the charging facilities such that the vehicles must be assigned to a few charging bays with given number contactors, and that the vehicles in a bay must be charged sequentially by one charger. By adopting the proposed methods, a cost-saving charging schedule can be obtained, which is blessed with the benefit of night electricity by using low-cost charging facilities
  • Keywords
    electric vehicles; genetic algorithms; scheduling; transportation; charging time-table; electric vehicles; genetic-algorithm; optimisation; scheduling; Automotive engineering; Batteries; Business; Contactors; Costs; Electric vehicles; Genetic algorithms; Petroleum; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.812443
  • Filename
    812443