Intelligent Fault Classification During Power Swings: S-Transform Feature Extraction and SVM-Based Decision Framework for Modern Transmission Networks
A new hybrid approach to fault detection in power systems based on S-Transform feature extraction and SVM-based intelligent classification is proposed that can clearly distinguish between power swings and actual faults, including symmetrical three-phase faults that have characteristics similar to power swings.