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Behaviorally Realistic Model for Analyzing the Effect of V2G Participation

As a mobile energy storage unit, the large-scale development of electric vehicle (EV) will make the application of V2G (Vehicle-to-Grid) technology possible: grid peak and valley load shifting can be achieved through charging and discharging. However, driving patterns and user behavior are highly random and uncertain. In order to solve the impact of random behavior on V2G participation in grid operation, this paper establishes a V2G model based on user behavior through user behavior questionnaire survey and traffic travel data. Then the impact of V2G charging and discharging behaviors on the grid load regulation under different modes is simulated by Monte Carlo simulation. The results reveal that compared with the model which doesn’t consider user behavior, the established one reflects more realistic performance in V2G Participation. Moreover, in daily load regulation, as the participation rate of V2G increases by 40%, the peak/valley load difference rate and daily load rate will decrease by 6% and increase by 2.27%, respectively. In conclusion, V2G participation – which considers user behavior – has a significant stabilizing effect on the grid daily load curve.