Analysis of the Spatio-temporal Distribution Characteristics of Electric Vehicle Charging Load Considering Environmental and User Behavior Impacts

Because there exists a spatio-temporal uncertainty in the travel behavior of electric vehicles(EVs) and the accurate simulation of the spatio-temporal distribution of EV charging load is fundamental to analyzing the interactive impact between EVs and the power grid. This paper precisely simulates the spatiotemporal distribution of EV charging load based on the traffic model, power consumption per unit mileage model, and the user charging decision model. Firstly, a road impedance model is introduced to establish a practical speed-flow model, as well as a power consumption per unit mileage model that takes environmental temperature into account. Secondly, the travel characteristics of private cars and taxis are described using trip chains and origin-destination probability matrices respectively. User charging habits are fitted using the normal distribution and regret theory is employed to simulate the user charging decision-making behavior. The influence of temperature on the battery performance is considered during the travel and charging processes, making the results more realistic. Finally, taking the road network in Qingpu District, Shanghai as an example, Monte Carlo simulations are used to model the travel and charging processes of EVs, obtaining the spatio-temporal distribution of charging loads in the area and verifying the effectiveness of the proposed method.