Considering the high initial capital cost of a Solar Photovoltaic (SPV) source and its low energy conversion efficiency, it is essential to operate the SPV source at Maximum Power Point (MPP) so that maximum power can be extracted. Techniques to extract maximum power from SPV Arrays (SPVA) where some of the cells are not receiving the full insolation (partial shaded condition) has been presented in this thesis. Effects of reconfiguration of the array and tracking of load have been analyzed for maximum power availability. In this thesis the analysis of fault detection in photovoltaic array with the help of fuzzy logic system is present. The fuzzy logic system depends on three inputs, namely percentage of voltage drop (PVD), percentage of open circuit voltage (POCV), and the percentage of short circuit current (PSCC). To improve the accuracy of the PV fault detection, Fuzzy Logic system is used to increase the overall detection accuracy of the power, voltage ratio algorithm up to 99.12%. fuzzy systems were tested, and it was found that have identical performance.

Photovoltaic (PV) array, MATLAB Simulink, Maximum Power Point Tracking (MPPT), Fuzzy Logic System

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