Short-Term Power Quality Disturbance Detection Method Based on S-Transform with Source Code
Excellent research paper with complete source code implementation. Voltage sag is one of the most concerning dynamic power quality issues. The widespread use of new power electronic devices demands higher power quality standards in grid systems. Since voltage sags exhibit propagation characteristics within power networks, both grid operators and end-users urgently require research and solutions for voltage sag mitigation. Voltage sag detection serves as the fundamental prerequisite for addressing this issue. This paper focuses on researching voltage sag detection methods, analyzing current research status of short-term power quality disturbance detection, and specifically examining voltage sag characteristics under three scenarios: short-circuit faults, induction motor starting, and transformer excitation. The study implements an S-transform-based detection algorithm that extracts features from S-magnitude and S-complex matrices to analyze amplitude variations, phase jumps, duration, and harmonic content.