Reliability Evaluation of Electric Vehicle Sharing Considering Charging Load Transfer in a Distribution Network Containing Microgrids

Vehicle-sharing services are now integrating electric vehicles (EVs) into their sharing systems. Electric vehicle sharing (EVS) is a convenient and cost-effective approach to reducing the use of internal combustion engine vehicles and improving traffic flow. However, the randomness in the charging load transfer eventually affects the reliability of a distribution network that contains microgrids. This study analyzes the spatiotemporal transfer characteristics of the EVS charging load in a distribution network that contains microgrids in different geographical areas. Combined with the improved charging load model, a reliability evaluation model of the charging load transfer is developed based on the Gauss-Markov movement model, which describes the spatiotemporal transfer characteristics of a distribution network with high accuracy. Moreover, the sequential Monte Carlo method for evaluating the reliability of a distribution network that contains microgrids is improved so that considers charging load transfer. Different scenarios, i.e., randomness of charging load transfer, number of EVS, charging locations of the main feeder lines in the microgrid, and the configuration of the wind-photovoltaic-storage power generation capacity are considered in evaluating the impact of charging load transfer on a distribution network that contains microgrids. The results could serve as a basis for integrating EVS into vehicle-sharing networks considering efficient charging load transfer in distribution network that contains microgrids.