Multi-source Cooperative Scheduling Strategy for Electric Vehicles Integrated into Microgrid Under TOU

Aiming at the low economic problem of electric vehicle (EV) integration into microgrid, this paper proposes a multi-source collaborative scheduling strategy including four different modes under the condition of time-of-use (TOU) electricity price: off-grid scheduling mode, peak-price period grid-connected mode, parity period grid-connected mode and valley-price period grid-connected mode. The corresponding multi-source collaborative scheduling model and the optimization algorithm based on sparrow algorithm are also given to achieve the goal of minimizing the system operating cost. Finally, the simulation results show that the proposed method is effective and can effectively reduce the operation cost of microgrid system and the charging cost of electric vehicles compared with the traditional method.