Wavelet-based algorithm for detection of voltage fluctuation

Norman C.F. Tse; L. L. Lai

doi:10.1049/cp:20062253

Wavelet-based algorithm for detection of voltage fluctuation

City University of Hong Kong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper presents a computational algorithm for identifying voltage fluctuations by using wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the voltage fluctuations presented in a voltage waveform. A frequency detection algorithm is developed from the wavelet scalogram and ridges. The instantaneous frequency identification approach is applied to determine the frequencies components. An algorithm based on the discrete stationary wavelet transform (DSWT) is adopted to denoise the wavelet ridges. Simulation has been used to demonstrate the superiority of this approach as compared to the more conventional one such as the Fast Fourier Transform.

Original language	English
Title of host publication	IET Conference Publications
DOIs	https://doi.org/10.1049/cp:20062253
Publication status	Published - 2006
Event	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, China Duration: 30 Oct 2006 → 2 Nov 2006

Conference

Conference	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
Place	China
City	Hong Kong
Period	30/10/06 → 2/11/06

Research Keywords

Complex Morlet Wavelet (CMW)
Continuous wavelet transform (CWT)
Discrete Stationary Wavelet Transform (DSWT)
Frequency estimation
Haar wavelet
Scalogram
Voltage sag and swells
Wavelet ridges

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10.1049/cp:20062253

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@inproceedings{bbd273dff5cd47f8b727d4a5da3dd646,

title = "Wavelet-based algorithm for detection of voltage fluctuation",

abstract = "This paper presents a computational algorithm for identifying voltage fluctuations by using wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the voltage fluctuations presented in a voltage waveform. A frequency detection algorithm is developed from the wavelet scalogram and ridges. The instantaneous frequency identification approach is applied to determine the frequencies components. An algorithm based on the discrete stationary wavelet transform (DSWT) is adopted to denoise the wavelet ridges. Simulation has been used to demonstrate the superiority of this approach as compared to the more conventional one such as the Fast Fourier Transform.",

keywords = "Complex Morlet Wavelet (CMW), Continuous wavelet transform (CWT), Discrete Stationary Wavelet Transform (DSWT), Frequency estimation, Haar wavelet, Scalogram, Voltage sag and swells, Wavelet ridges",

author = "Tse, {Norman C.F.} and Lai, {L. L.}",

year = "2006",

doi = "10.1049/cp:20062253",

language = "English",

isbn = "0863412467",

booktitle = "IET Conference Publications",

note = "7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 ; Conference date: 30-10-2006 Through 02-11-2006",

}

TY - GEN

T1 - Wavelet-based algorithm for detection of voltage fluctuation

AU - Tse, Norman C.F.

AU - Lai, L. L.

PY - 2006

Y1 - 2006

N2 - This paper presents a computational algorithm for identifying voltage fluctuations by using wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the voltage fluctuations presented in a voltage waveform. A frequency detection algorithm is developed from the wavelet scalogram and ridges. The instantaneous frequency identification approach is applied to determine the frequencies components. An algorithm based on the discrete stationary wavelet transform (DSWT) is adopted to denoise the wavelet ridges. Simulation has been used to demonstrate the superiority of this approach as compared to the more conventional one such as the Fast Fourier Transform.

AB - This paper presents a computational algorithm for identifying voltage fluctuations by using wavelet-based transform. The continuous wavelet transform (CWT) using the complex Morlet wavelet (CMW) is adopted to detect the voltage fluctuations presented in a voltage waveform. A frequency detection algorithm is developed from the wavelet scalogram and ridges. The instantaneous frequency identification approach is applied to determine the frequencies components. An algorithm based on the discrete stationary wavelet transform (DSWT) is adopted to denoise the wavelet ridges. Simulation has been used to demonstrate the superiority of this approach as compared to the more conventional one such as the Fast Fourier Transform.

KW - Complex Morlet Wavelet (CMW)

KW - Continuous wavelet transform (CWT)

KW - Discrete Stationary Wavelet Transform (DSWT)

KW - Frequency estimation

KW - Haar wavelet

KW - Scalogram

KW - Voltage sag and swells

KW - Wavelet ridges

UR - http://www.scopus.com/inward/record.url?scp=84869647443&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84869647443&origin=recordpage

U2 - 10.1049/cp:20062253

DO - 10.1049/cp:20062253

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0863412467

SN - 9780863412462

BT - IET Conference Publications

T2 - 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006

Y2 - 30 October 2006 through 2 November 2006

ER -

Wavelet-based algorithm for detection of voltage fluctuation

Abstract

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Research Keywords

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