Temporal and Spatial Distribution Simulation of EV Charging Load Considering Charging Station Attractiveness

Abstract

The charging load randomness of the temporal and spatial distribution of electric vehicles (EV) poses a challenge to the planning and operation of the power system. Aiming at this problem, a simulation method of the temporal and spatial distribution of EV charging load considering the charging station attractiveness and the traffic time-consuming index is proposed. Firstly, the charging station attractiveness model is constructed to describe the users' regularity of selecting the charging stations. Secondly, the traditional OD matrix is modified so that it can be used to describe the driving and distribution rules of the EVs. Thirdly, the concept of time-consuming index is proposed to quantify the driving time consumed. Then, the charging station attractiveness model will take full account of the various space-time factors. By simulating the EV state of charge and driving paths and combining the charging station attractiveness, the temporal and spatial distribution matrix of the charging load of a single EV is calculated, which is further extended to the EV groups with the Monte Carlo simulation. Finally, taking a typical urban area as an example, the charging load patterns of taxis and private EVs and the impact of the attraction of charging stations and the traffic situations on the charging loads are compared and analyzed, which verifies the correctness and effectiveness of the proposed model and method.