A V2G scheduling strategy based on the fruit fly optimization algorithm

Abstract

As electric vehicles enter people's lives in large numbers, their behavior of disorderly charging and discharging will have a seriously negative impact on the safety and economic operation of the power system. This study proposes an electric vehicle charging and discharging load model under the constraint of joint benefits on the both power supply and demand sides. In this model, we set the minimum variance of grid load peak-to-valley values and the maximum benefit for users as the objective function, and take into account the randomness of electric vehicle starting charging time and duration as well as the grid capacity limitation. The main innovation point is that based on the fruit fly optimization algorithm, it proposes an intelligent orderly charging and discharging strategy with vehicle-to-grid (V2G). Following this, we compare several common charging models for electric vehicles with simulations, and conclude that the proposed optimization model can best reduce the target of peak-to-valley difference in grid load and also charging and discharging costs, thus demonstrating the feasibility and effectiveness of the model and strategy.