A Hierarchical Control Strategy for EVVES Participating in Regional Power Grid Scheduling

To fully utilize the schedulable potential of electric vehicle virtual energy storage (EVVES), a collaborative optimization decomposition model for EVVES scheduling instructions is proposed. Based on the hierarchical energy management approach, a hierarchical architecture is established for EVVES participating in regional power grid scheduling, consisting of the grid layer, operator layer, and response control layer. On the basis of the proposed framework, an optimization model for operator is established with the goal of minimizing the response deviation of power grid scheduling instructions and optimizing economic benefits. An energy management control strategy for the response control layer is proposed with the aim of ensuring user travel demands and responding to power guidance instructions. The numerical results demonstrate the effectiveness of the proposed optimization model and energy management control strategy.