• DocumentCode
    2359981
  • Title

    Stochastic charging management for plug-in electric vehicles in smart microgrids fueled by renewable energy sources

  • Author

    Zhu, Li ; Yu, F. Richard ; Bin Ning ; Tao Tang

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    26-29 Sept. 2011
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Charging electric vehicles (EVs) from smart microgrids fueled by renewable energy resources is becoming a popular green approach. Although some works have been done about renewable energy sources and EVs in smart microgrids, the stochastic characteristics and the dynamic interplay between these two important green solutions should be carefully considered. Furthermore, one of the important performance metrics, service availability for EVs, is largely ignored in the existing works. In this paper, we study the charging policies in smart microgrids with EVs and renewable energy sources. We analyze service availability under different charging policies. Numerical results are presented to show the performance of different charging policies.
  • Keywords
    distributed power generation; electric vehicles; renewable energy sources; smart power grids; stochastic processes; green approach; plug-in electric vehicles; renewable energy sources; smart microgrids; stochastic charging management; Equations; Green products; Vehicles; Electric vehicles; renewable energy; smart microgrids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Online Conference on Green Communications (GreenCom), 2011 IEEE
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4244-9518-4
  • Type

    conf

  • DOI
    10.1109/GreenCom.2011.6082526
  • Filename
    6082526