Optimization of Energy management using a particle swarm optimization for hybrid renewable energy sources

Abstract

This study investigated a stand-alone hybrid renewable energy system’s optimum energy management system. The proposed optimization method is called Particle swarm optimization and it is an evolutionary computing methodology (PSO). The proposed technique (PSO) for managing the energy system is to calculate the amount of power that the battery must generate and that is through adjusting the values PI controller gains while taking account the amount of power generated by the significant resources (in our case PV and wind).