A PSO-based smart grid application for optimum sizing of hybrid renewable energy systems

Abstract

One of the most important issues in the recent studies is to optimally size the HRES components to meet all load requirements with possible minimum cost and highest reliability. In view of the complexity of optimization of the HRES, it was imperative to discover effective optimization methods ready to get good optimization results especially, for the complex optimization problems. Particle swarm optimization (PSO) was recommended as a standout amongst the most valuable and promising methods for optimizing the HRES because of using the global optimum to locate the best solution [87]. PSO algorithm is designed based on swarm intelligence and used to handle the complex optimization problems [88].