• DocumentCode
    1945209
  • Title

    Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources

  • Author

    Gunter, S.J. ; Perreault, David J. ; Suresh, Smitha ; Afridi, Khurram

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    24-27 Feb. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Increased penetration of plug-in electric vehicles (PEVs) will necessitate deployment of numerous PEV chargers. Pairing these chargers with renewable distributed generation (DG) and storage can potentially alleviate negative impacts on the distribution grid and help meet renewable portfolio goals. The optimal design of such integrated charging systems depends on many factors, including geographic location and charging profiles. This paper presents an optimization methodology for designing integrated PEV charging systems with multiple chargers and distributed resources. This methodology is used to investigate optimal designs for charging systems at a retail business and on a university campus. When PEV charging can introduce a demand charge, it is shown that the optimal design depends on the time of charging and the level of existing load. When non-negligible distribution system losses exist between charger locations, it is shown that the optimal size and location of DG and storage depends on the charging profile of the different chargers and the distribution efficiency.
  • Keywords
    battery powered vehicles; distributed power generation; energy storage; losses; optimisation; power grids; DG; distribution grid; geographic location; integrated PEV charging system; nonnegligible distribution system loss; optimal design methodology; optimization methodology; plug-in electric vehicle; renewable distributed generation resource; Batteries; Business; Design methodology; Educational institutions; Maintenance engineering; Optimization; distributed power generation; electric vehicles; energy storage; linear programming; mixed integer linear programmmg;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4673-4894-2
  • Electronic_ISBN
    978-1-4673-4895-9
  • Type

    conf

  • DOI
    10.1109/ISGT.2013.6497852
  • Filename
    6497852