Aggregation Method of Massive Electric Vehicle Shared Energy Storage Based on Flexibility Prediction

Energy storage in the electric vehicles can improve the flexibility of the power systems, which is one of the effective means to solve the intermittency and instability of renewable energy sources. In light of this, an aggregation method for the energy storage capability from large-scale electric vehicle is proposed in this study. The spatio-temporal characteristics of different types of electric vehicles are introduced and the developing trend of the electric vehicle fleet size is analysized. Based on this, the aggregation process of electric vehicles participating in shared energy storage was elucidated. Afterward, the Monte Carlo method was employed to compute and assess the dispatchable capacity of electric vehicles. Finally, numerical simulation results illustrate the effectiveness of the proposed approach. The conclusion reveals that If electric vehicles interact with the grid during 0:00–5:00 and 11:00–14:00, the available regulation capability of the power systems is significantly increased.