Abstract
With the increasing popularity of electric vehicles (EVs), the balancing on the electric vehicle (EV) users' benefits and grid optimal operation becomes to be an urgent issue during the past decade. This paper proposes a new Vehicle to Grid (V2G) scheduling strategy based on the EV user willingness model. First, we determine the user's willingness model based on the unit power wear cost of the EV battery. On this basis, considering dynamic discharging electricity price (DEP), the daily grid net income increment (GNII) is used as the optimization goal, and the particle swarm optimization (PSO) algorithm is used to obtain the daily dispatch strategy of grid. Taking the daily base load and the forecast of the wind turbine (WT)'s day-ahead power in a certain area as the simulation basic data, the results show that EVs can play the role of “peak shaving and valley filling” after participating in V2G scheduling. Through the sensitivity analysis of important model parameters, we can understand that the development of technical level in various aspects is conducive to increasing the willingness of EV group to participate in V2G, and increasing the benefits of grid and EV users. The strategy can reduce the peak-to-valley difference and enhance positive interactions between both parties.
Published Version
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