Signal processing techniques for estimating power system modal parameters

D. Min, J. Heo, J. Yoo, Kyeon Hur

Research output: Contribution to journalArticle

Abstract

Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root cause, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly and the capabilities and applications of signal processing for PQ are continually evolving. This paper thus presents a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions and introduce promising signal processing techniques for this purpose.

Original languageEnglish
Article number1240019
JournalJournal of Circuits, Systems and Computers
Volume21
Issue number6
DOIs
Publication statusPublished - 2012 Oct 1

Fingerprint

Power quality
Signal processing
Outages
Natural frequencies
Damping
Monitoring

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Hardware and Architecture

Cite this

@article{ceab50cd116845f694f40e68d16b0ae8,
title = "Signal processing techniques for estimating power system modal parameters",
abstract = "Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root cause, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly and the capabilities and applications of signal processing for PQ are continually evolving. This paper thus presents a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions and introduce promising signal processing techniques for this purpose.",
author = "D. Min and J. Heo and J. Yoo and Kyeon Hur",
year = "2012",
month = "10",
day = "1",
doi = "10.1142/S0218126612400191",
language = "English",
volume = "21",
journal = "Journal of Circuits, Systems and Computers",
issn = "0218-1266",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "6",

}

Signal processing techniques for estimating power system modal parameters. / Min, D.; Heo, J.; Yoo, J.; Hur, Kyeon.

In: Journal of Circuits, Systems and Computers, Vol. 21, No. 6, 1240019, 01.10.2012.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Signal processing techniques for estimating power system modal parameters

AU - Min, D.

AU - Heo, J.

AU - Yoo, J.

AU - Hur, Kyeon

PY - 2012/10/1

Y1 - 2012/10/1

N2 - Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root cause, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly and the capabilities and applications of signal processing for PQ are continually evolving. This paper thus presents a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions and introduce promising signal processing techniques for this purpose.

AB - Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root cause, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly and the capabilities and applications of signal processing for PQ are continually evolving. This paper thus presents a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions and introduce promising signal processing techniques for this purpose.

UR - http://www.scopus.com/inward/record.url?scp=84871272313&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871272313&partnerID=8YFLogxK

U2 - 10.1142/S0218126612400191

DO - 10.1142/S0218126612400191

M3 - Article

AN - SCOPUS:84871272313

VL - 21

JO - Journal of Circuits, Systems and Computers

JF - Journal of Circuits, Systems and Computers

SN - 0218-1266

IS - 6

M1 - 1240019

ER -