Short-term Power Quality Disturbance Detection Method Using S-transform
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This program implements a short-term power quality disturbance detection method based on the S-transform algorithm. The core functionality involves applying time-frequency analysis through S-transform to characterize voltage sags by extracting key parameters: magnitude variations, phase shifts, duration metrics, and harmonic distortion levels. The implementation includes automated disturbance classification algorithms that identify various disturbance types such as momentary interruptions, transient fluctuations, and harmonic distortions using pattern recognition techniques. Upon detection, the system triggers automatic alerts and generates detailed disturbance reports containing timestamps, severity indices, and spectral characteristics. This enables operators to implement timely corrective actions, ensuring power system stability through continuous monitoring and analysis.
- Login to Download
- 1 Credits