An efficient power plant model of electric vehicles considering the travel behaviors of EV users

Under the vehicle-to-grid (V2G) concept, an efficient power plant model of the E V aggregation (E-EPP) considering the travel behaviors of EV users is developed to determine the system V2G capability along a whole day. Firstly, based on the market survey data of various EV batteries, a nonlinear generic battery model (GBM) is established, which can describe the charging/discharging characteristics and the variation of state-of-charge (SOC) of EV batteries. Then, considering different traveling behaviors of EV users and combined with the proposed GBM, a Monte Carlo Simulation (MCS) method is implemented to build the E-EPP model. Finally, three charging strategies (dumb charging, smart charging and hybrid charging) are considered to evaluate and compare the V2G capability boundary of the E-EPP by using a typical test example. Simulation results show that the developed E-EPP can determine the V2G capability of EVs along a typical day in order to keep the traveling comfort levels of EV users.