• DocumentCode
    2728569
  • Title

    Stochastic analysis on the energy constraint of V2G frequency regulation

  • Author

    Han, Sekyung ; Han, Soo Hee ; Sezaki, Kaoru

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2010
  • fDate
    1-3 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Energy constraint for V2G frequency regulation is illustrated in terms of state-of-charge (SOC) of the pertaining vehicle battery. Actual regulation signal is investigated, and energy deviation caused by a single regulation signal is obtained. With the derived energy deviation model, a probability distribution of successful regulation is estimated. Random walk theory is employed for stochastic analysis of the distribution. For the derived probability distribution, an approximation to the normal distribution is made to perform practical calculation on a digital computer. Estimated probability distribution is averaged over the unit contract time, usually an hour, to yield a weight function that represents the energy constraint. Finally, simulations are provided to with various parameters.
  • Keywords
    battery powered vehicles; frequency control; power grids; power system control; probability; stochastic processes; V2G frequency regulation; energy constraint; optimal control; probability distribution; random walk theory; state-of-charge; stochastic analysis; vehicle battery; vehicle-to-grid frequency regulation; Batteries; Frequency control; Gaussian distribution; Probability distribution; Stochastic processes; System-on-a-chip; Vehicles; Battery; Optimal Control; Regulation; Smart Grid; V2G;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE
  • Conference_Location
    Lille
  • Print_ISBN
    978-1-4244-8220-7
  • Type

    conf

  • DOI
    10.1109/VPPC.2010.5729157
  • Filename
    5729157