Optimal sizing of a stand-alone hybrid power system via particle swarm optimization (PSO)

In this paper a novel intelligent method is applied to the problem of sizing in a hybrid power system such that the demand of residential area is provided. The system consist of fuel cells, some wind units, an electrolyzer, a reformer, a compressor, an anaerobic reactor and a hydrogen tank. The system is assumed to be stand-alone and uses the municipal waste as an available energy resource. PSO algorithm is used for optimal sizing of system´s components.