• DocumentCode
    2717174
  • Title

    Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation

  • Author

    Han, Sekyung ; Jang, Soohyeong ; Sezaki, Kaoru ; Han, Soohee

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    114
  • Lastpage
    116
  • Abstract
    V2G frequency regulation requires an aggregator to perform the optimal control. This paper estimates the probability of successful regulation with respect to state-of-charge (SOC). A stochastic analysis is performed to represent the relative value of energy capacity along with the battery size. Weight functions for each of regulation up and down are developed respectively enabling the aggregator to reflect the energy constraint.
  • Keywords
    Batteries; Frequency control; Hybrid electric vehicles; Industrial control; Medical services; Optimal control; Performance analysis; Smart grids; State estimation; Stochastic processes; Battery; Optimal Control; Regulation; Smart Grid; V2G; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
  • Conference_Location
    Prague, Czech Republic
  • Print_ISBN
    978-1-4244-5370-2
  • Electronic_ISBN
    978-1-4244-5371-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2010.5489962
  • Filename
    5489962