Model predictive control of EV storage battery with HEMS based on particle swarm optimization

Electric Vehicle (EV) which has a large amount of storage battery can contribute to make Energy Management System (EMS) more effective. While an EV is parking at home or at company, the battery of an EV can be used as an energy storage for smart grids. In this paper, we propose a model predictive control of EV storage battery in Home Energy Management System (HEMS) based on an auto-regressive model and Particle Swarm Optimization (PSO). We also study the effectiveness of Photovoltaics (PV) equipped with EVs. The proposed method controls the states of EV storage battery to minimize the electricity cost of HEMS and evaluates the electric company´s profit.