Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

摘要

In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.