Distribution of Charging Load for Urban Electric Vehicles Under Extreme Rainfall Weather

In recent years, frequent extreme rainfall has posed significant challenges to the safe operation of urban power grids and transportation networks. At present, the impact mechanism of extreme rainfall weather on the distribution of electric vehicle charging load is not clear, resulting in significant deviations in the predicted results of electric vehicle charging load distribution. To solve the above problems, this paper proposes a method for predicting the distribution of charging load of urban electric vehicles under extreme rainfall weather. Firstly, a model of electric vehicles and road traffic under urban waterlogging is established to study the impact of urban waterlogging on electric vehicles and road traffic models. Based on this, a load prediction model for electric vehicles under urban waterlogging is proposed. Then, through Monte Carlo simulation, the charging load and node voltage of each node in the distribution network under urban waterlogging are obtained. Finally, combining the improved IEEE-33 node network with a 32 node transportation network, a case study analysis was conducted. Compared with the evaluation results without considering the impact of urban waterlogging, the method proposed in this paper accurately identified nodes 13 and 27 that were most affected by waterlogging, fully demonstrating the feasibility of the method proposed in this paper.