Optimal Power Management of Multi-Port Converter System in Electric Vehicle Charging Station

With rising energy storage capacity and distributed generation in the electric grid, optimal power management of converters help to reduce running price and optimize power transfer. This paper develops a particle swarm optimization (PSO) based technique to minimize the cost of energy (CoE) purchased from the grid to reduce the running cost of a multi-port converter system for electric vehicle (EV) charging station. The multi-port system discussed in the paper integrates a photovoltaic (PV) system, battery storage, electric grid, and EV charging system. The developed optimal power management system supervises the controllers of different converters in the multi-port converter system. The performance of the optimal power management system is validated through simulation.