AI based MPPT methods for grid connected PV systems under non linear changing solar irradiation

This paper presents the artificial neural network (ANN), fuzzy logic controller (FLC) maximum power point tracking (MPPT) methods in grid connected photovoltaic (PV) systems for optimizing the solar energy efficiency.

All the methods are simulated in MATLAB-Simulink, respectively together with SunPower-SPR305 PV module connected to single-ended primary inductor converter (SEPIC). Performance assessment covers efficiency, overshoot, settling time response, oscillations and stability.

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