Robust three-stage dynamic mode decomposition for analysis of power system oscillations

Rodriguez-Soto, Ramón Daniel; Barocio, Emilio; Gonzalez-Longatt, Francisco; Segundo Sevilla, Felix Rafael; Korba, Petr

doi:10.1109/TPWRS.2023.3275102

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Robust three-stage dynamic mode decomposition for analysis of power system oscillations
Authors:	Rodriguez-Soto, Ramón Daniel Barocio, Emilio Gonzalez-Longatt, Francisco Segundo Sevilla, Felix Rafael Korba, Petr
et. al:	No
DOI:	10.1109/TPWRS.2023.3275102
Published in:	IEEE Transactions on Power Systems
Volume(Issue):	39
Issue:	2
Page(s):	4000
Pages to:	4009
Issue Date:	11-May-2023
Publisher / Ed. Institution:	IEEE
ISSN:	0885-8950 1558-0679
Language:	English
Subjects:	PMU; Stability; Transient; Noise; Outlier detection; Missing data recovery; DMD
Subject (DDC):	621.3: Electrical, communications, control engineering
Abstract:	A spatio-temporal method based on Robust Three-stage Dynamic Mode Decomposition (RTDMD) is proposed to improve the modal parameter estimation of synchrophasor data in the presence of noise, missing data and outliers. The proposed method is based on the PMU correlated spatio-temporal data to estimate missing information using an iterative singular value decomposition (SVD) combined with the adjustment of the reduced Koopman operator. Moreover, it is proposed to identify and correct outliers using an inherent statistical extension of the SVD-based Mahalanobis distance. As a result of the proposed enhancements, modal parameters such as damping and power system oscillation frequency are extracted as a byproduct of the RTDMD algorithm process. Data resulting from real-time digital simulators (RTDS) with self-clearing three-phase fault and Phasor Measurement Units (PMUs) of Low-Frequency Oscillation (LFO) incidents at hydroelectric power plants are used to illustrate the effectiveness of the proposed method over other well-established methods.
URI:	https://digitalcollection.zhaw.ch/handle/11475/29746
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:	Publikationen School of Engineering

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Rodriguez-Soto, R. D., Barocio, E., Gonzalez-Longatt, F., Segundo Sevilla, F. R., & Korba, P. (2023). Robust three-stage dynamic mode decomposition for analysis of power system oscillations. IEEE Transactions on Power Systems, 39(2), 4000–4009. https://doi.org/10.1109/TPWRS.2023.3275102

Rodriguez-Soto, R.D. et al. (2023) ‘Robust three-stage dynamic mode decomposition for analysis of power system oscillations’, IEEE Transactions on Power Systems, 39(2), pp. 4000–4009. Available at: https://doi.org/10.1109/TPWRS.2023.3275102.

R. D. Rodriguez-Soto, E. Barocio, F. Gonzalez-Longatt, F. R. Segundo Sevilla, and P. Korba, “Robust three-stage dynamic mode decomposition for analysis of power system oscillations,” IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 4000–4009, May 2023, doi: 10.1109/TPWRS.2023.3275102.

RODRIGUEZ-SOTO, Ramón Daniel, Emilio BAROCIO, Francisco GONZALEZ-LONGATT, Felix Rafael SEGUNDO SEVILLA und Petr KORBA, 2023. Robust three-stage dynamic mode decomposition for analysis of power system oscillations. IEEE Transactions on Power Systems. 11 Mai 2023. Bd. 39, Nr. 2, S. 4000–4009. DOI 10.1109/TPWRS.2023.3275102

Rodriguez-Soto, Ramón Daniel, Emilio Barocio, Francisco Gonzalez-Longatt, Felix Rafael Segundo Sevilla, and Petr Korba. 2023. “Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations.” IEEE Transactions on Power Systems 39 (2): 4000–4009. https://doi.org/10.1109/TPWRS.2023.3275102.

Rodriguez-Soto, Ramón Daniel, et al. “Robust Three-Stage Dynamic Mode Decomposition for Analysis of Power System Oscillations.” IEEE Transactions on Power Systems, vol. 39, no. 2, May 2023, pp. 4000–9, https://doi.org/10.1109/TPWRS.2023.3275102.