HYBRID GENETIC ALGORITHM VERSUS PSO FOR TRACKING THE MPP OF PV MODULE

Classical algorithms for maximum power point tracking (MPPT) are not difficult to implement and provide accurate enough results and speed under normal conditions. Under partial shading or other multiple local maximum power point (MPP) conditions they are missing the global MPP. This paper proposes a hybrid genetic algorithm (HGA) for tracking the maximum power point when multiple local maximum power points can be found and a comparison with a biological algorithm for tracking the maximum power point: Particle Swarm Optimization (PSO)