Real Time Detection of Partial Shading in the Photovoltaic System Using New Fuzzy Logic Technique /

Abstract

With the increased use of photovoltaic (PV) modules, there is a greater demand for effective and quick response PV fault and partial shading detection techniques. This thesis describes developing a real time fault and partial shading detection technique for photovoltaic (PV) systems by using Mamdani fuzzy logic. The technique has a minimal level of complexity, yet it has a high rate of fault identification. The identification of partial shading and faults is based on threshold values developed by comparing the PV system's measured and Simulink-based model results. A data analysis approach was performed to determine several PV system parameters. Multiple shading scenarios and open circuit fault were analyzed. Several rules have been developed in Mamdani fuzzy logic, which distinguishes between different cases. All case studies were verified through simulations and validated by establishing an experimental setup. From the simulation and experimental results, it has been demonstrated that the proposed technique has an excellent performance in detecting partial shading and fault.