Optimization and Management of Hybrid Renewable Energy System Using PSO Algorithm: Data Center Application

This electronic document presents a case study of optimal sizing applied to the energy management system using the Particle Swarm Optimization algorithm (PSO), it is a management approach of a hybrid renewable energy system that consists of: battery banks, photovoltaic panels, wind turbines, fuel cell based on hydrogen storage, Data Center as load and the grid. The Particle Swarm optimization algorithm was used to find the optimal sizing of the hybrid energy system, the results show that the proposed approach is effective in finding the optimal sizing with a fast convergence, illustrating the energy uptakes over one year of data (8760 hours).