• DocumentCode
    2847943
  • Title

    Robust demand-side plug-in electric vehicle load control for renewable energy management

  • Author

    Bashash, S. ; Fathy, H.K.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    929
  • Lastpage
    934
  • Abstract
    Plug-in electric vehicles can provide the power grid with some degree of control authority over fluctuations in electric load, thanks to their charging flexibility. The magnitude of this control authority depends on a variety of factors including the number of vehicles plugged into the grid, their instantaneous power demands, and the degree of flexibility in these demands. This paper addresses the problem of using a universally broadcast control signal to directly control the charge rate of a fleet of plug-in electric vehicles connected to the grid. The paper specifically seeks a control algorithm that is robust to uncertainties in renewable energy generation and the number of grid-connected vehicles. We adopt the sliding mode control strategy to achieve stability and robustness with respect to the collective effects of system uncertainties. The control law and robustness conditions are derived using the Lyapunov stability criterion. The paper shows that using only the real-time imbalance between the electricity supply and demand as a measured system output, the controller is able to precisely attenuate this imbalance, achieving reliable demand-side load management. Numerical simulations are provided to evaluate the performance of this controller.
  • Keywords
    Lyapunov methods; battery powered vehicles; demand side management; load regulation; numerical analysis; power grids; robust control; uncertain systems; variable structure systems; Lyapunov stability; broadcast control signal; grid connected vehicles; numerical simulations; power demands; renewable energy generation; renewable energy management; robust demand side plugin electric vehicle load control; sliding mode control strategy; uncertain systems; Load flow control; Numerical simulation; Power system stability; Robustness; Sliding mode control; Trajectory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990856
  • Filename
    5990856