Publication

Abstract : Power quality disturbances (PQD) critically impact the stability and performance of electrical equipment, necessitating their timely detection and thorough investigation. High resolution time-frequency analysis methods are essential for visualizing and recognizing non-stationary waveforms in power quality (PQ) disturbance signals. The Fourier Synchro-Squeezing Transform (FSST) is suggested as a better way to characterize and identify advanced time-frequency PQD techniques in this study. It is shown that FSST can provide accurate and detailed time-frequency representations of PQ disturbance signals, showing how well it works to improve the accuracy of PQD analysis and detection accuracy. In addition to presenting the merits of FSST, a comparative study with other state-of-the-art methods, such as the Stockwell Transform (ST) and Hilbert-Huang Transform (HHT), is conducted. This comparison shows that FSST is better in terms of resolution and ease of use, especially when dealing with complex, non-stationary signals common during power quality problems. The study examines various PQ disturbance signals, including voltage sags, swells, transients, and harmonic distortions, analyzed using FSST.