Abstract
This paper investigates the double randomness matching mechanism between electric vehicle (EV) charging and wind power in a distribution network. The Markov Decision Process is employed to model the uncertainties of both EV and wind power. The optimized dispatching models and strategies for EV charging under multi-time scale are developed to achieve the objective function. The goal of this function is to maximize matching degree between EV charging and wind power as well as minimize the power losses fully taking the physical constraints of distribution network into account. This actualizes dynamic control of EV charging. The simulation results on IEEE 5 node system and IEEE 30 node system demonstrate that the optimal dispatching method can reduce the network power losses and improve the matching degree between the EV charging and wind power.
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