Fault Identification Using Fuzzy In Renewable Energy Interfaced IEEE 13 Bus System

Nowadays, distributed generation (DG) based on renewable energy resources has accelerated due to policymakers' encouragement, worldwide worries about CO2 emissions, energy scarcity, and the desire for sustainable energy generation. This paper discusses the use of fuzzy logic to recognize and identify power transmission faults. Current waveforms are affected by transients when a defect occurs in the organization, and their pattern varies depending on what type of failure. The MATLAB-generated three-phase alternating current, zero-sequence, and positive-sequence recent data are directly processed for classification. The results show that the suggested technique is capable of effectively identifying and classifying the type of failure in an IEEE 13 bus system with a solar panel system as a source. The efficacy of the proposed controller for detecting faults in the line has been determined by the analysis.