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Title: Mode Shape Estimation Algorithms Under Ambient Conditions: A Comparative Review

Abstract

Abstract—This paper provides a comparative review of five existing ambient electromechanical mode shape estimation algorithms, i.e., the Transfer Function (TF), Spectral, Frequency Domain Decomposition (FDD), Channel Matching, and Subspace Methods. It is also shown that the TF Method is a general approach to estimating mode shape and that the Spectral, FDD, and Channel Matching Methods are actually special cases of it. Additionally, some of the variations of the Subspace Method are reviewed and the Numerical algorithm for Subspace State Space System IDentification (N4SID) is implemented. The five algorithms are then compared using data simulated from a 17-machine model of the Western Electricity Coordinating Council (WECC) under ambient conditions with both low and high damping, as well as during the case where ambient data is disrupted by an oscillatory ringdown. The performance of the algorithms is compared using the statistics from Monte Carlo Simulations and results from measured WECC data, and a discussion of the practical issues surrounding their implementation, including cases where power system probing is an option, is provided. The paper concludes with some recommendations as to the appropriate use of the various techniques. Index Terms—Electromechanical mode shape, small-signal stability, phasor measurement units (PMU), system identification, N4SID, subspace.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1177330
Report Number(s):
PNNL-SA-100643
TE1101000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems, 28(2):779-787
Additional Journal Information:
Journal Name: IEEE Transactions on Power Systems, 28(2):779-787
Country of Publication:
United States
Language:
English

Citation Formats

Dosiek, Luke, Zhou, Ning, Pierre, John W., Huang, Zhenyu, and Trudnowski, Daniel J. Mode Shape Estimation Algorithms Under Ambient Conditions: A Comparative Review. United States: N. p., 2013. Web. doi:10.1109/TPWRS.2012.2210570.
Dosiek, Luke, Zhou, Ning, Pierre, John W., Huang, Zhenyu, & Trudnowski, Daniel J. Mode Shape Estimation Algorithms Under Ambient Conditions: A Comparative Review. United States. https://doi.org/10.1109/TPWRS.2012.2210570
Dosiek, Luke, Zhou, Ning, Pierre, John W., Huang, Zhenyu, and Trudnowski, Daniel J. 2013. "Mode Shape Estimation Algorithms Under Ambient Conditions: A Comparative Review". United States. https://doi.org/10.1109/TPWRS.2012.2210570.
@article{osti_1177330,
title = {Mode Shape Estimation Algorithms Under Ambient Conditions: A Comparative Review},
author = {Dosiek, Luke and Zhou, Ning and Pierre, John W. and Huang, Zhenyu and Trudnowski, Daniel J.},
abstractNote = {Abstract—This paper provides a comparative review of five existing ambient electromechanical mode shape estimation algorithms, i.e., the Transfer Function (TF), Spectral, Frequency Domain Decomposition (FDD), Channel Matching, and Subspace Methods. It is also shown that the TF Method is a general approach to estimating mode shape and that the Spectral, FDD, and Channel Matching Methods are actually special cases of it. Additionally, some of the variations of the Subspace Method are reviewed and the Numerical algorithm for Subspace State Space System IDentification (N4SID) is implemented. The five algorithms are then compared using data simulated from a 17-machine model of the Western Electricity Coordinating Council (WECC) under ambient conditions with both low and high damping, as well as during the case where ambient data is disrupted by an oscillatory ringdown. The performance of the algorithms is compared using the statistics from Monte Carlo Simulations and results from measured WECC data, and a discussion of the practical issues surrounding their implementation, including cases where power system probing is an option, is provided. The paper concludes with some recommendations as to the appropriate use of the various techniques. Index Terms—Electromechanical mode shape, small-signal stability, phasor measurement units (PMU), system identification, N4SID, subspace.},
doi = {10.1109/TPWRS.2012.2210570},
url = {https://www.osti.gov/biblio/1177330}, journal = {IEEE Transactions on Power Systems, 28(2):779-787},
number = ,
volume = ,
place = {United States},
year = {Wed May 01 00:00:00 EDT 2013},
month = {Wed May 01 00:00:00 EDT 2013}
}