CEMS (Community Energy Management System) shares in-vehicle storage batteries with multiple agents and minimizes the cost in the entire community. In the previous research, a charging/discharging system was developed for in-vehicle storage batteries shared by multiple EMSs using the mixed integer quadratic programming method. However, when solving the optimization problem formulated by the mixed integer quadratic programming method, it takes long time to calculate because it is necessary to

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... e the relaxation problem many times, so it is difficult to perform large-scale and long-term simulations. In this research, we propose a method using the quadratic programming problem to serve CEMS with the same performance but mitigate the computational time.