• DocumentCode
    136698
  • Title

    Demand management of electric vehicle charging based on a cloud computing framework

  • Author

    Rajeev, T. ; Ashok, S.

  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Electric vehicles are going to be a significant load on the existing distribution system, which may lead to unexpected peak loads and rapid fluctuations of power grid. In order to keep the plug-in hybrid vehicles from causing harmful new peaks, a new method is presented for the management of Electric Vehicle(EV) charging along with other domestic load operations in a renewable energy integrated domestic infrastructure. The effectiveness of the proposed methodology was evaluated using simulated case studies. The study indicates that the proposed load shifting program provides annual electricity bill savings to the consumer and the utility benefits from the reduction in peak demand by using demand side management in the domestic sector.
  • Keywords
    battery powered vehicles; cloud computing; demand side management; hybrid electric vehicles; invoicing; load distribution; power engineering computing; power grids; secondary cells; annual electricity bill saving; cloud computing framework; consumer utility benefits; load shifting program; plug-in hybrid electric vehicle charging demand side management; power grid rapid fluctuation; renewable energy integrated domestic infrastructure; unexpected peak load distribution system; Batteries; Cloud computing; Load management; Load modeling; Renewable energy sources; Smart grids; Vehicles; Cloud computing; Dynamic EV factor; Plug-in hybrid electric vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6940969
  • Filename
    6940969