User Decision-based Analysis of Urban Electric Vehicle Loads

The grid load attributable to electric vehicles (EVs) is affected by the choice behaviors of EV users. To analyze the effects of factors such as travel demand and electricity prices on user behavior, a logit discrete choice model is introduced to simulate the users decisions to charge/travel. Based on a quasi-steady-state traffic network, a model for cluster electric vehicles considering the user's behavior is designed to obtain the probability distribution of the user's behavior and the charge and discharge curves of cluster EVs under various scenarios. The validity of the proposed model is verified using an IEEE 9-node traffic network case and an urban traffic network case. Furthermore, the impact of the electricity price, traffic conditions, and other factors on the load curves of urban EVs is analyzed.