Title :
Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids
Author :
Bansal, Somil ; Zeilinger, Melanie N. ; Tomlin, Claire J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
Abstract :
This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of electric vehicles (EVs) in a distribution system. The proposed method uses a two-stage hierarchical control scheme based on a model predictive control (MPC) formulation for tracking periodic references. The first stage computes a reachable periodic reference that trades off deviation from the nominal voltage with the required generation control. The second stage computes a controller that tracks this reference and charges the EVs, while satisfying system constraints at all times. Under the assumption of a time-periodic load, it is shown that the proposed controller is recursively feasible and exponentially stable i.e. the EVs´ state of charge (SOC) and bus voltages converge to the desired SOC and to the optimal periodic reference respectively. Finally, the proposed scheme is illustrated in a set of examples.
Keywords :
asymptotic stability; electric vehicles; predictive control; EV; MPC formulation; SOC; distribution system; electric vehicle charging; exponentially stable; generation control; handling plug-and-play; optimal periodic reference; plug-and-play model predictive control; predictive controller; smart grids; time-periodic load; voltage control; Equations; Mathematical model; Reactive power; Steady-state; System-on-chip; Trajectory; Voltage control;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040312