Abstract:

This study looks into a community energy management system (CEMS), which is made up of several separate EMSs and reduces the cost of electricity for the entire community by distributing the EVs' onboard storage batteries among the EMSs. Since EVs travel between locations within the neighborhood, EMSs must work together to recharge and discharge EV batteries while taking EV mobility into account. In this study, the authors propose a model predictive control of charging and discharging for EV batteries shared by multiple EMSs based on a mixed-integer quadratic programming method and a quadratic programming method. In addition, the electricity price of trade between an EV and an EMS is derived using the Lagrange multiplier in the optimization problem. Finally, the validity of the proposed system is verified using simulations.