Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems

Luigi Vanfretti, Luke Dosiek, John W. Pierre, Daniel Trudnowski, Joe H. Chow, Rodrigo Garcia-Valle, Usman Aliyu

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been a research subject for over two decades. Several techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies have been included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this paper we illustrate the practical application of some ambient analysis methods for electromechanicalmode estimation in different power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR) data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of different power systems, regardless of their specific dynamic characteristics. The discussions and results in this paper are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods.
Original languageEnglish
JournalEuropean Transactions on Electrical Power
Volume21
Pages (from-to)1640-1656
ISSN1430-144X
DOIs
Publication statusPublished - 2011

Keywords

  • Application of signal processing techniques
  • Power system oscillations
  • Small-signal stability
  • Power system monitoring
  • Power system measurements
  • Power system identification
  • Power system parameter estimation
  • Synchronized phasor measurements

Cite this

Vanfretti, Luigi ; Dosiek, Luke ; Pierre, John W. ; Trudnowski, Daniel ; Chow, Joe H. ; Garcia-Valle, Rodrigo ; Aliyu, Usman. / Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems. In: European Transactions on Electrical Power. 2011 ; Vol. 21. pp. 1640-1656.
@article{fe8fad211b17490890219f5ec7a9d5a7,
title = "Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems",
abstract = "The application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been a research subject for over two decades. Several techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies have been included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this paper we illustrate the practical application of some ambient analysis methods for electromechanicalmode estimation in different power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR) data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of different power systems, regardless of their specific dynamic characteristics. The discussions and results in this paper are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods.",
keywords = "Application of signal processing techniques, Power system oscillations, Small-signal stability, Power system monitoring, Power system measurements, Power system identification, Power system parameter estimation, Synchronized phasor measurements",
author = "Luigi Vanfretti and Luke Dosiek and Pierre, {John W.} and Daniel Trudnowski and Chow, {Joe H.} and Rodrigo Garcia-Valle and Usman Aliyu",
year = "2011",
doi = "10.1002/etep.507",
language = "English",
volume = "21",
pages = "1640--1656",
journal = "International Transactions on Electrical Energy Systems",
issn = "1430-144X",
publisher = "Wiley",

}

Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems. / Vanfretti, Luigi; Dosiek, Luke; Pierre, John W.; Trudnowski, Daniel; Chow, Joe H.; Garcia-Valle, Rodrigo; Aliyu, Usman.

In: European Transactions on Electrical Power, Vol. 21, 2011, p. 1640-1656.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Application of Ambient Analysis Techniques for the Estimation of Electromechanical Oscillations from Measured PMU Data in Four Different Power Systems

AU - Vanfretti, Luigi

AU - Dosiek, Luke

AU - Pierre, John W.

AU - Trudnowski, Daniel

AU - Chow, Joe H.

AU - Garcia-Valle, Rodrigo

AU - Aliyu, Usman

PY - 2011

Y1 - 2011

N2 - The application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been a research subject for over two decades. Several techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies have been included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this paper we illustrate the practical application of some ambient analysis methods for electromechanicalmode estimation in different power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR) data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of different power systems, regardless of their specific dynamic characteristics. The discussions and results in this paper are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods.

AB - The application of advanced signal processing techniques to power system measurement data for the estimation of dynamic properties has been a research subject for over two decades. Several techniques have been applied to transient (or ringdown) data, ambient data, and to probing data. Some of these methodologies have been included in off-line analysis software, and are now being incorporated into software tools used in control rooms for monitoring the near real-time behavior of power system dynamics. In this paper we illustrate the practical application of some ambient analysis methods for electromechanicalmode estimation in different power systems. We apply these techniques to phasor measurement unit (PMU) data from stored archives of several hours originating from the US Eastern Interconnection (EI), the Western Electricity Coordinating Council (WECC), the Nordic Power System, and time-synchronized Frequency Disturbance Recorder (FDR) data from Nigeria. It is shown that available signal processing tools are readily applicable for analysis of different power systems, regardless of their specific dynamic characteristics. The discussions and results in this paper are of value to power system operators and planners as they provide information of the applicability of these techniques via readily available signal processing tools, and in addition, it is shown how to critically analyze the results obtained with these methods.

KW - Application of signal processing techniques

KW - Power system oscillations

KW - Small-signal stability

KW - Power system monitoring

KW - Power system measurements

KW - Power system identification

KW - Power system parameter estimation

KW - Synchronized phasor measurements

U2 - 10.1002/etep.507

DO - 10.1002/etep.507

M3 - Journal article

VL - 21

SP - 1640

EP - 1656

JO - International Transactions on Electrical Energy Systems

JF - International Transactions on Electrical Energy Systems

SN - 1430-144X

ER -