Research on the Schedulable Potential of Aggregated Electric Vehicle Clusters in Virtual Power Plants

In the process of virtual power plant(VPP) construction, electric vehicle, as a typical distributed resource, has strong flexibility, which makes their participation in the optimization and regulation of power system more uncertain. According to this problem, we studies the schedulable potential of electrical vehicle (EV) clusters within VPP. First of all, an optimization control strategy model for a VPP which includes EVs is proposed. By maximizing the profit of VPP, the model guides EVs charging and discharging behaviors during different periods to achieve peak shaving and valley filling, optimize resource utilization efficiency, and maximize VPP revenue through electricity sales to distributed power grid. Secondly, after fully considering the optimization control strategy of the VPP, an EV schedulable potential model is established to fully exploit and utilize the schedulable potential of EVs, thereby optimizing VPP operation strategies. Finally, through simulation examples, the impact of different depths of charging and discharging on the schedulable potential of EVs is simulated. The overall potential of EVs is found to be considerable, which verifies the effectiveness of the proposed optimization control strategy in evaluating the schedulable potential of EVs.