Optimizing Fault Detection Algorithms in Synchronous Generator Using Wavelet Transform and Fuzzy Logic for Enhanced Fault Analysis

This paper proposes a robust fault detection and analysis model for 126 MVA synchronous generators connected to 16 kV and 230 kV transmission lines, developed in MATLAB Simulink R2025a. The model simulates various fault scenarios, including short-circuit conditions, to enhance the fault detection accuracy. The proposed approach combines wavelet transform for precise signal decomposition with fuzzy logic for reliable decision-making, enabling real-time fault detection and classification. The enhanced signal processing framework facilitates faster fault identification and localization, while the fuzzy logic system ensures accurate and consistent fault categorization. The simulation results demonstrate significant improvements in the protection and operational control of synchronous generators, achieving both high reliability and precision. These findings underscore the algorithm’s suitability for deployment in modern power systems, offering a scalable and effective solution for fault management.