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
fDate :
June 29 2011-July 1 2011
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;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990856