Optimization of Solar PV Array Performance Using Fuzzy Logic MPPT In MATLAB

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Hashid Bilal, Yuvika Dhillon, Sonal Sood

Abstract

The use of solar energy via photovoltaic (PV) cells is a major factor in the generation of sustainable energy, because photovoltaic cells directly convert solar radiation into electric energy without harming the atmosphere, they are extremely important in the production of solar energy. Panel efficiency can be increased by using the right DC-DC converters in conjunction with an extremely efficient Maximum Point of Power Transmission (MPPT) algorithm that pulls out the peak envelope results. The performance evaluation of photovoltaic array was carried out by use of the MATLAB SIMULINK toolkit. The outcomes of the simulation indicate that the Incremental Conductance (IC) method quickly finds the peak performance point when the sudden changes in radiant flux occur; it also shows faster convergence and better accuracy than the P&O algorithm. The intended controller for Fuzzy Logic is designed in order to maximise the authority output of PV array by accurately tracking the peak performance point under varied solar radiant flux and temperature circumstances. The controller employs a Fuzzy Logic based algorithm that uses the solar irradiance and voltage error as inputs to determine appropriate duty cycle for converter.

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