Detection and localization of Fault Inverter Installed In PV System Connected to Electrical grid

This paper presents a novel procedure for detection and localization fault in PV systems connected to electrical network. We aim to detect short-circuit faults in two-level inverter using conventional fault diagnosis methods based on average current normalized to the absolute value of the current. The final input considered by a fuzzy inference system, this method is specifically designed to significantly reduce the required number of sensors and address the reliability issue of PWM inverters in renewable energy systems. The Simulation of global system is realized by MATLAB. Obtained results presented the performance of our suggested approach during various operating conditions.