Electric Vehicle Charging Load Forecasting Model Considering Road Network-Power Grid Information

With the rapid development of electric vehicles, it is important to predict the charging load of electric vehicles for the power grid. Considering that both the road network and the power grid have an impact on the charging load of electric vehicles, this paper proposes a charging load forecasting model based on the interactive architecture of the road network and the power grid. Firstly, the travel destination is obtained from the vehicle travel characteristics, and the specific driving process of the vehicle is simulated by microscopic traffic simulation. Then, the power flow is calculated in real time according to the current load, and the charging price is changed synchronously by the node voltage. Finally, predict the space-time distribution of electric vehicle charging load and study the impact of charging load on the power grid. Taking Beijing Third Ring Road Network model and IEEE30 node grid as an example, the charging load of EV is predicted, and the validity of the model is verified. The simulation results show that the distribution of charging load of taxi and private car is quite different in time and space, the charging load makes the grid voltage drop seriously.