Construction of Road Network Model and Power Prediction for Electric Vehicles in Weak Link of Urban Power Grid

Aiming to predict the charging and discharging power of electric vehicles, a Power Prediction method for Electric Vehicle is proposed by considering their real-time State of Charge (SOC) values and desired SOC values. Firstly, targeting weak links in urban power grids, a road network model was constructed based on Markov chains and a spatiotemporal travel chain for electric vehicles, whereby real geographic coordinates of urban areas serve as the research subject. Then a model was established for the charging and discharging load of electric vehicles at weak links in the power grid. Finally, based on real-time State of Charge (SOC) values and desired SOC values, the charging and discharging power of electric vehicles was predicted. The proposed method for predicting the charging and discharging power of electric vehicles can not only mitigate the impact of a large number of electric vehicles connecting to the grid on its weak links and improve the stability of the distribution network, but also significantly meet the actual charging power demand of urban electric vehicles. Through the study of cases, the effectiveness of the method was validated.