A Comparative Study on Maximum Power Point Tracking Techniques of Photovoltaic Systems

This article concerns maximizing the energy reproduced from the photovoltaic PV system, ensured by using an efficient Maximum Power Point Tracking MPPT process. The process should be fast, rigorous and simple for implementation because the PV characteristics are extremely affected by fast changing conditions and Partial Shading PS. PV systems are popularly known to have many peaks one Global Peak GP and several local peaks. Therefore, the MPPT algorithm should be able to accurately detect the unique GP as the maximum power point MPP, and avoid any other peak to mitigate the effect of PS. Usually, with no shading, nearly all the conventional methods can easily reach the MPP with high efficiency. Nonetheless, they fail to extract the GP when PS occurs. To overcome this problem, Evolutionary Algorithms AEs, namely the Particle Swarm Optimization PSO and Genetic Algorithm GA are simulated and compared to the conventional methods Perturb & Observe under the same software.

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