Research on Electric Vehicle Demand Response Strategy in Traffic-Grid Coupling Networks Based on Charging State Forecasting Model

As the environmental concerns increase globally, electric vehicles (EVs) play an important role in energy saving and emission reduction perspectives. However, the integration of EV charging loads into power grid brings negative effects such as overload and voltage deviation. In order to solve these problems, an EV demand response (DR) strategy in traffic-grid coupling networks based on the charging state forecasting model is proposed. Firstly, the charging state forecasting model was established considering the traffic condition, which can capture the distribution characteristics of the aggregate EV charging loads. Then a DR strategy considering the power flow constraints was proposed. The DR potential of each coupling node are evaluated and the charging loads are rationally dispatched in the strategy. Finally, simulation results show that the proposed method can effectively alleviate the voltage deviation in the regional power grid.