Optimum sizing of hybrid PV/Wind/battery installation using a fuzzy PSO

This paper proposes a sizing methodology to optimize the configuration of the hybrid energy system. For this we used an approach of automatic fuzzy rule base generation by means of Fuzzy-Adaptive Particle Swarm Optimization (PSO), which changes dynamically the acceleration coefficient rates ensuring the convergence. This algorithm allows us to obtain the optimal number of photovoltaic panels, wind turbines and storage units ensuring the minimal global high efficiency system total cost and guaranteeing the permanent availabilty of energy to cover the load energy requirements. The database of wind speed taken hourly, the solar irradiance and the load data are used to stochastically model the wind turbines, photovoltaic generation and load. The total cost is the objective function and the technical size is considered as a contraint.