• DocumentCode
    1815289
  • Title

    Demand side management by using electric vehicles as Distributed Energy Resources

  • Author

    Pang, Chengzong ; Kezunovic, Mladen ; Ehsani, Mehrdad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper aims at demonstrating the potential benefits of using electrical vehicles (EVs) as Distributed Energy Resources (DERs) in smart distribution system. It discusses the options of grid-to-vehicle (G2V) and vehicle-to-building (V2B) operating modes that might be used to support the power grid through demand side management (DSM) program. The V2B mode is particularly promising since it provides an option to use the energy stored in a battery in Electric Vehicles (EVs) to support the local load in the power grid during severe system loading and outages, hence alleviating the demand on the grid and its reliability requirements. The implementation and benefits of using EVs as DERs for demand-side management are discussed and demonstrated with test cases and numerical results.
  • Keywords
    battery powered vehicles; demand side management; hybrid electric vehicles; power distribution reliability; renewable energy sources; smart power grids; DSM program; G2V operating modes; V2B operating modes; battery electric vehicle; demand side management; distributed energy resources; electric vehicles; grid-to-vehicle operating modes; plug-in hybrid electric vehicle; power grid; smart distribution system; vehicle-to-building operating modes; Batteries; Educational institutions; Electric vehicles; Electricity; Power systems; System-on-a-chip; Battery electric vehicle; Demand side management; Distributed energy resources; Electric vehilcle; Plug-in hybrid electric vehicle; Smart grid; Vehicle-to-building;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183273
  • Filename
    6183273