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Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs

Abstract: 

This paper presents a new methodology to detect low-frequency
oscillations in power grids by use of time-synchronized data
from phasor measurement unit (PMU). Principal component analysis
(PCA) is first applied to the massive PMU data to extract the
low-dimensional features, i.e., the principal components (PCs). Then
based on persistent homology, a \emph{cyclicity response function}
is proposed to detect low-frequency oscillations through the use of
PCs. Whenever the cyclicity response exceeds a numerically robust
threshold, a low-frequency oscillation can be detected instantly.
Such swift detection can then be followed by modal analysis tools for more detailed information of oscillation. Numerical examples
using real data illustrate the effectiveness of
the proposed methodology in quick detection of oscillations during operations.

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Paper Details

Authors:
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar
Submitted On:
7 December 2016 - 5:28pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Harish Chintakunta
Paper Code:
1370
Document Year:
2016
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Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs

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[1] Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar, "Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1416. Accessed: Aug. 19, 2017.
@article{1416-16,
url = {http://sigport.org/1416},
author = {Yang Chen; Harish Chintakunta; Le Xie; Yuliy Baryshnikov; P.R. Kumar },
publisher = {IEEE SigPort},
title = {Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs},
year = {2016} }
TY - EJOUR
T1 - Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs
AU - Yang Chen; Harish Chintakunta; Le Xie; Yuliy Baryshnikov; P.R. Kumar
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1416
ER -
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. (2016). Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs. IEEE SigPort. http://sigport.org/1416
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar, 2016. Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs. Available at: http://sigport.org/1416.
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. (2016). "Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs." Web.
1. Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1416