• DocumentCode
    3384580
  • Title

    Stochastic approach to assess impacts of electric vehicles on the distribution network

  • Author

    Tran Quoc Tuan ; Le Pivert, X. ; Saheli, M. ; Beaude, O.

  • Author_Institution
    CEA-INES, Le Bourget-du-lac, France
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    With the rapid growth of electric vehicles (EV) connected to the distribution network, in general to low voltage network, the development of a simulation tool becomes necessary in order to determine the EV penetration level, to assess impacts of EV integration on the distribution network and opportunities contributed by EV. In this paper, a simulation tool based on the probabilistic three phase Load Flow (PLF) program has been developed by using Monte Carlo techniques. By using this tool, technical and economic impacts of EV integration on the distribution network are assessed. Studies of the potential opportunities of ancillary services provided by EV are also carried out. Low voltage rural and urban networks are used for these studies.
  • Keywords
    Monte Carlo methods; electric vehicles; load flow; power distribution economics; probability; stochastic processes; EV penetration level; Monte Carlo technique; PLF; ancillary service opportunity; electric vehicle; impact assessment; low voltage distribution network; low voltage rural network; low voltage urban network; probabilistic three phase load flow program; simulation tool development; stochastic approach; Economics; Indexes; Load modeling; Electric vehicle; LV network; impact; services; stochastic approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Berlin
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4673-2595-0
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2012.6465704
  • Filename
    6465704