• DocumentCode
    1815485
  • Title

    Optimal siting and sizing of electric vehicle charging stations

  • Author

    Jia, Long ; Hu, Zechun ; Song, Yonghua ; Luo, Zhuowei

  • Author_Institution
    Smart Grid Oper. & Optimization Lab. (SGOOL), Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The development of electric vehicles cannot be separated from charging infrastructures. At present, the construction of electric vehicle charging stations faces the problems on siting and sizing. This paper introduces the optimization process of the sizing and siting of electric vehicle charging stations, defines variables to represent the charging demand; abstracts the structure of road network to model and simulate with graph theory; solves the problem with Cplex. The objective of the model is to minimize the integrated cost of charging stations and consumers. The calculation results, using the data of Stockholm, Sweden, show that the method can effectively reduce the construction and operation costs, and facilitate user charging.
  • Keywords
    battery chargers; electric vehicles; graph theory; charging demand; construction costs; electric vehicle charging stations; graph theory; operation costs; optimal siting; optimal sizing; road network; user charging; Educational institutions; Electric vehicles; Investments; Optimization; Planning; Roads; charging station; electric vehicle (EV); integrated cost; optimal planning; siting and sizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183283
  • Filename
    6183283