• DocumentCode
    1606193
  • Title

    Improved grid integration of intermittent electricity generation using electric vehicles for storage: A simulation study

  • Author

    Monigatti, Paul ; Apperley, Mark ; Rogers, Bill

  • Author_Institution
    Univ. of Waikato, Hamilton, New Zealand
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    This paper describes a simulation to establish the extent to which reliance on non-dispatchable energy sources, particularly wind generation, could in the future be extended beyond accepted norms, by utilizing the distributed battery capacity of an electric vehicle fleet for storage. The notion of exploiting the distributed battery capacity of an electric vehicle fleet as grid storage is not new. However, this simulation study specifically examines the potential impact of the idea in the New Zealand context. The simulation makes use of real and projected data in relation to vehicle usage, full potential wind generation capacity and availability, taking into account weather variation, and typical daily and seasonal patterns of electricity usage. It differs from previous studies in that it is based on individual vehicles, rather than a bulk battery model. At this stage, the simulation does not take into account local or regional flows. A more detailed analysis of these localized effects will follow in subsequent stages of the simulation work.
  • Keywords
    electric vehicles; power generation reliability; power grids; wind power plants; New Zealand context; distributed battery capacity; electric vehicle fleet; full potential wind generation capacity; grid integration; grid storage; intermittent electricity generation; nondispatchable energy sources; regional flows; simulation study; simulation work; wind generation; wind generation availability; Batteries; Data models; Electric vehicles; Electricity; Load modeling; Wind speed; V2G; electric vehicles; simulation; smart grids; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference (IGCC), 2012 International
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4673-2155-6
  • Electronic_ISBN
    978-1-4673-2153-2
  • Type

    conf

  • DOI
    10.1109/IGCC.2012.6322267
  • Filename
    6322267