EV Intra-day Multi-objective Optimal Regulation Strategy Considering Dispatchable Capacity

Abstract

As a typical flexible load, electric vehicles' (EVs) power consumption behavior is easy to be affected and have a certain randomness, which are difficult to be controlled by conventional power grid regulation method. In order to make full use of the potential of EVs participating in power grid ancillary services, reduce the impact of plug-in-EVs on the power grid and improve the power grid operation level, this paper proposes a intra-day multi-objective optimal regulation strategy for EVs participating in peak shaving ancillary services based on the consideration of EVs' dispatchable capacity. Firstly, EV dispatchable capacity is evaluated based on controllability of EVs, and then the multi-objective optimization algorithm NSGA-II is used to solve the optimization model, and the grid dispatching instruction is decomposed into EV subgroup dispatching instruction. Finally, the EV subgroup charging scenario is set up and an example simulation is carried out to verify the effectiveness of the proposed method.