FIS Based Fault Identification and Classification in IEEE RTS96 System

This paper proposes fuzzy inference system (FIS) to identify and classify power transmission line faults. Testing of the suggested fuzzy logic-based protection strategy has been conducted for a variety of fault scenarios and fault parameter ranges. When a fault arises in the power system, current waveforms are altered by fault conditions, and the magnitude varies based on the type of fault. The measured instantaneous current and zero-sequence current signals are processed for identification of fault. The findings demonstrate that the proposed method is effective at determining and grouping the class of fault in an IEEE RTS96 system. The analysis has determined the effectiveness of the suggested system for identifying line faults.