Time-frequency analysis of power system disturbance signals for power quality

Yongjune Shin, Antony C. Parsons, Edward J. Powers, W. M. Grady

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

Abstract

In this paper, we utilize fundamental concepts of time-frequency analysis to analyze transient disturbance signals in power systems. Within the restriction of the uncertainty principle, timefrequency analysis provides localized information of the disturbance signal as a function of time and frequency. Using simulation and actual power disturbance data, we show that the so-called reduced interference distribution (RID) appears to be most suitable for investigating the time-frequency characteristics of power disturbances. In this paper, the potential assessment of power quality via application of timefrequency analysis is also briefly discussed.

Original languageEnglish
Title of host publication1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages402-407
Number of pages6
ISBN (Electronic)0780355695, 9780780355699
DOIs
Publication statusPublished - 1999
Event1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Edmonton, Canada
Duration: 1999 Jul 181999 Jul 22

Publication series

Name1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Conference Proceedings
Volume1

Other

Other1999 IEEE Power Engineering Society Summer Meeting, PES 1999
Country/TerritoryCanada
CityEdmonton
Period99/7/1899/7/22

Bibliographical note

Funding Information:
This research was funded by the Texas Higher Education Coordinating Board Advanced Technology Program, Project 003658-092, "Wavelet-Based Recognition System for High-Voltage Transmission Line Disturbances," as well as the Electric Power Research Institute, Project W08214-01, "Impact of Wavelet Theory on Power Qual- ity." We thank the Electric Power Research Institute for providing the power disturbance data.

Publisher Copyright:
© 1999 IEEE.

All Science Journal Classification (ASJC) codes

  • Economics, Econometrics and Finance (miscellaneous)
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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