A comparative study of different MPPT methods for grid-connected partially shaded photovoltaic systems

mouna ben smida, anis sakly


Partial shading is considered as one of the unavoidable complicated phenomenon in solar power generation systems. Under shade, the photovoltaic (PV) characteristics displays numerous local maxima. Such situations are very challenging for Maximum Power Point Tracking (MPPT) conventional techniques for reaching the global maximum, which considerably reduces the PV systems’ energy yield. This paper suggests a comparative analysis between the several MPPT algorithms for partially shaded grid-connected photovoltaic system. Indeed, these techniques involve the fuzzy logic as well as the genetic algorithm methods. The grid side control is also investigated in this work through the development of different control loops. Simulation tests have been performed under MATLAB/Simulink environment to highlight the suggested method’s effectiveness.

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Partial shading; photovoltaic system;maximum power point tracking (MPPT); Fuzzy logic Control (FLC), Genetic Algorithm (GA)

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