• DocumentCode
    656778
  • Title

    Electric vehicle charging station placement

  • Author

    Lam, Albert Y. S. ; Yiu-Wing Leung ; Xiaowen Chu

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Baptist Univ., Hong Kong, China
  • fYear
    2013
  • fDate
    21-24 Oct. 2013
  • Firstpage
    510
  • Lastpage
    515
  • Abstract
    Transportation electrification is one of the essential components in the future smart city planning and electric vehicles (EVs) will be integrated into the transportation system seamlessly. Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. They should be carefully situated so that an EV can access a charging station within its driving range and cruise around anywhere in the city upon being recharged. In this paper, we formulate the Electric Vehicle Charging Station Placement Problem, in which we minimize the total construction cost subject to the constraints for the charging station coverage and the convenience of the drivers for EV charging. We study the properties of the problem, especially its NP-hardness, and propose an efficient greedy algorithm to tackle the problem. We perform a series of simulation whose results show that the greedy algorithm can result in solutions comparable to the mixed-integer programming approach and its computation time is much shorter.
  • Keywords
    battery chargers; electric vehicles; integer programming; NP-hard problem; charging station coverage; construction cost; electric vehicle charging station placement; greedy algorithm; mixed integer programming; rransportation electrification; smart city planning; Cities and towns; Computational modeling; Electric vehicles; Fossil fuels; Greedy algorithms; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2013.6688009
  • Filename
    6688009