• DocumentCode
    2854505
  • Title

    Locating PHEV Exchange Stations in V2G

  • Author

    Pan, Feng ; Bent, Russell ; Berscheid, Alan ; Izraelevitz, David

  • Author_Institution
    Decision Applic. Div., Los Alamos Nat. Lab., Los Alamos, NM, USA
  • fYear
    2010
  • fDate
    4-6 Oct. 2010
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    Plug-in hybrid electric vehicles (PHEVs) are an environmentally friendly technology that is expected to rapidly penetrate the transportation system. Renewable energy sources such as wind and solar have received considerable attention as clean power options for future generation expansion. However, these sources are intermittent and increase the uncertainty in the ability to generate power. The deployment of PHEVs in a vehicle-to-grid (V2G) system provide a potential mechanism for reducing the variability of renewable energy sources. For example, PHEV supporting infrastructures like battery exchange stations that provide battery service to PHEV customers could be used as storage devices to stabilize the grid when renewable energy production is fluctuating. In this paper, we study how to best site these stations in terms of how they can support both the transportation system and the power grid. To model this problem we develop a two-stage stochastic program to optimally locate the stations prior to the realization of battery demands, loads, and generation capacity of renewable power sources. We develop two test cases to study the benefits and the performance of these systems.
  • Keywords
    hybrid electric vehicles; power grids; renewable energy sources; transportation; PHEV exchange station; V2G a system; plug-in hybrid electric vehicles; power grid; renewable energy sources; transportation; vehicle-to-grid; Batteries; Cities and towns; Generators; Load modeling; Power grids; Stochastic processes; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4244-6510-1
  • Type

    conf

  • DOI
    10.1109/SMARTGRID.2010.5622037
  • Filename
    5622037