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Fuzzy Logic Based MPPT Controller for a PV System

Abstract: Maximum Power Point Tracking (MPPT) for photovoltaic system has been developed to maximize the produced energy. The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature, therefore it is necessary to implement the maximum power point tracking controller to obtain the maximum power of a PV system regardless of variations in climatic conditions. The output characteristic of a photovoltaic array is nonlinear and changes with solar irradiation and the cell’s temperature. Therefore, a Maximum Power Point Tracking technique is needed to draw peak power from the solar array to maximize the produced energy. In this work, the PV system is designed and simulated using MATLAB consisting of a solar panel array, MPPT controller, boost converter, voltage source convertor, a resistive load and grid. This thesis proposed the design and modeling of a fuzzy controller for tracking the maximum power point of a PV system. The performances of the solar PVs are analyzed with two cases, one with without MPPT controller and other is with the consideration of fuzzy based MPPT controller. These two cases are compared in terms of the output power efficiency, system dynamic response and finally the oscillations behavior.