A maximum power point tracking method based on multiple perturb-and-observe method for overcoming solar partial shaded problems

摘要

Although the conventional P&O method may be trapped into a local maximum point under partial shading conditions, it is a very fast algorithm because it is a deterministic algorithm and simply rely on the fact that the maximum point is reached when dPpv/dVpv = 0, where Ppv and Vpv are the power and voltage of the photovoltaic arrays, respectively. Hence, it is highly desirable, under partial shading conditions, to still employ deterministic algorithm such as P&O algorithm for fast tracking time and yet the global maximum point (GMP) can still be tracked. To this end, we proposed to perform P&O methods on multiple particles. This paper demonstrates that the proposed multiple P&O (M P&O) method can successfully locate the GMP. Its tracking speed is much faster than trajectory- or population-based meta-heuristic methods, such as the simulated anealing or particle swarm optimization methods.