Identification and Classification of Power Quality Disturbances via Synchro-Reassigning Transform

This study introduces the Synchro-Reassigning Transform (SRT), a cutting-edge method developed for high-resolution time-frequency analysis of power quality (PQ) disturbances. The research assesses the performance of SRT in comparison to other established techniques such as Short-Time Fourier Transform (STFT), Wavelet Transform (WT), Synchro-Squeezing Transform (SST), and Synchro-Extracting Transform (SET). Specifically, the study focuses on the identification and categorization of various PQ issues, including voltage sags, swells, interruptions, harmonics, and inter-harmonics. The analysis reveals that SRT excels in detecting harmonics and inter-harmonics, providing much clearer and more detailed time-frequency representations by minimizing cross-term interference, which is a limitation often observed in other methods. The results highlight SRT’s ability to offer more accurate and reliable signal interpretations, leading to enhanced precision in PQ analysis. Overall, this technique represents a significant advancement in power quality monitoring, delivering greater reliability and improving the accuracy of PQ disturbance detection.