Near-Perfect Time–Frequency Analysis of Power Quality Disturbances. Issue 4 (4th July 2022)

• Record Type: Journal Article
• Authors: Singh, Utkarsh
• Is Part Of: IETE journal of research. Volume 68:Issue 4(2022)
• Page Start: 2779
• Page End: 2789
• Publication Date: 2022-07-04
• Subjects: Detection -- Power quality -- Power quality disturbances -- S-transform -- Short-time Fourier transform; Electronics -- Periodicals; Telecommunication -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/03772063.2020.1726828
• Languages: English
• ISSNs: 0377-2063

Abstract

Abstract : Time-frequency analysis is a key requirement for the detection of power quality disturbances (PQDs). Due to non-stationary nature of the disturbances and resolution restriction posed by the uncertainty principle, most signal processing techniques fail to single-handedly detect different types of disturbances with desired precision. As a solution to this problem, a near-perfect time-frequency analysis technique is presented for PQDs. It utilizes the concept of instantaneous frequency (IF)-based time–frequency representations. A carefully chosen Gaussian window in the windowed Fourier transform followed by the slight post-processing gives a high spectral concentration on the IF trajectory by eliminating unwanted frequencies. Several comparative case studies are shown, which support the effective detection and classification capabilities offered by the proposed technique.