S-Transform Application in Harmonic Analysis of a DFIG-Based Wind Energy Conversion

Chu, Haoxiang; Xie, Da; Zhang, Yanchi

doi:10.1142/9789813100312_0025

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additional examples of ST applications in PQ could be listed as like inrush current detection [32, 33], harmonic detection [34–36], current harmonic distortion analysis and/or voltage [37, 38] and flicker [39, 40].…”

Section: Power Quality Applicationsmentioning

confidence: 99%

S‐transform: from main concepts to some power quality applications

Beuter

Oleskovicz

2020

IET signal process.

View full text Add to dashboard Cite

Among various spectral analysis tools arisen in the last years, some were more prominent, such as Fourier transform, windowed Fourier transform and wavelet transform (WT). Nevertheless, all of them present implementation restrictions for an ideal extraction for low as well as high frequencies, of variant signals in time, as, for example, signals containing time-varying harmonics. In this sense, this study presents a review of concepts on the S-transform (ST), also known as Stockwell transform, applied in the analysis of some signals in the context of power quality (PQ). ST gathers, in a single function, positive qualities of both short time Fourier transform (STFT) and WT. This study presents a mathematical basis and some considerations regarding ST, referring to published papers, including a comparison between ST and STFT, as well as WT. It is worth emphasising that a final solution for the extraction of the low-and high-frequency information from time-varying signals is not yet available. ST is a satisfactory approach, but it still needs more detailed studies. This study presents a necessary set of steps for a better understanding of ST, reproduction of examples found in correspondent literature, as well as the ones regarding PQ.

show abstract