Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems

Yong June Shin, Edward J. Powers, W. M. Grady, S. C. Bhatt

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

Wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.

Original languageEnglish
Pages (from-to)873-883
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3813
Publication statusPublished - 1999 Dec 1

Fingerprint

Voltage Sag
Electric power transmission
Daubechies Wavelet
Power Distribution
Wavelet Bases
electric power
Electric power distribution
Wavelet analysis
Electric potential
electric potential
wavelet analysis
Wavelet Analysis
Local Properties
Uncertainty Principle
Performance Index
bandwidth
Bandwidth
Performance Analysis
Wavelets
Assignment

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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title = "Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems",
abstract = "Wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.",
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Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems. / Shin, Yong June; Powers, Edward J.; Grady, W. M.; Bhatt, S. C.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3813, 01.12.1999, p. 873-883.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems

AU - Shin, Yong June

AU - Powers, Edward J.

AU - Grady, W. M.

AU - Bhatt, S. C.

PY - 1999/12/1

Y1 - 1999/12/1

N2 - Wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.

AB - Wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.

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