A Consumer-Oriented Incentive Strategy for EV Charging in Multiareas under Stochastic Risk-Constrained Scheduling Framework

The distribution of electric vehicle (EV) charging areas is affected by customers' behaviors, which has strong temporal and spatial characteristics. Thus, some charging stations (CSs) are always busy, practically, whereas others are not, which leads to lower charging efficiency and profit. To solve this, a consumer-oriented charging incentive strategy for EVs in multiple regions is proposed, which can guide the transfer and alleviate the congestion of CSs so as to improve the economy of scheduling. In this article, by setting different charging prices in various regions, the price-based transfer model (PBTM) of EVs is constructed to describe price effects on transfer behaviors of EVs. Then, the PBTM is integrated into a stochastic scheduling scheme managed by the distribution system operator (DSO). Charging income and extra cost of line loss caused by charging are additionally considered to maximize the total profit of DSO when scheduling. Finally, the applicability and economic advantages of the proposed strategy are analyzed with different CSs' capacities as well as users' price sensitivity and regulation depth of EVs, and the influence of important parameters is investigated deeply.