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Energies
Volume 19
Issue 18
10.3390/en19184433
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Article

Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition

by
Mario R. Arrieta Paternina
1,2,
Gilberto Lopez Rios
3,
Pablo Moreno Villalobos
3,
Alejandro Zamora-Mendez
4,
Amrit Parajuli
2,
Camila Castrillón-Franco
5,
Gabriel E. Mejia-Ruiz
6,
Alfredo Velazquez-Ibañez
2,
Felix Rafael Segundo Sevilla
2 and
Petr Korba
2,*
1
Department of Electrical Engineering, National Autonomous University of Mexico, Mexico City 04510, Mexico
2
Electric Power Systems and Smart Grids Group, Institute of Energy Systems and Fluid Engineering (IEFE), ZHAW, 8400 Winterthur, Switzerland
3
Centre for Research and Advanced Studies of Mexico (CINVESTAV), Campus Guadalajara, Zapopan 45019, Mexico
4
Electrical Engineering Faculty, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico
5
Intelligent Electrical Power Grids, University of Technology (TU Delft), 2628 CD Delft, The Netherlands
6
Electrical and Electronics Engineering School, Universidad del Valle, Cali 760032, Colombia
*
Author to whom correspondence should be addressed.
Energies 2026, 19(18), 4433; https://doi.org/10.3390/en19184433 (registering DOI)
Submission received: 7 August 2026 / Revised: 2 September 2026 / Accepted: 8 September 2026 / Published: 19 September 2026
(This article belongs to the Section F1: Electrical Power System)
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Abstract

This paper focuses on deriving power-system linear models directly from collected PMU data with the aim of feeding a wide-area damping controller (WADC) architecture. To this end, a data-assisted dominant modal realization in state space is derived from frequency-response data, impulse-response data, and the retained impulse dynamic subspace, enabling WADC synthesis without requiring a full phenomenological network model. Then, a discrete-time linear quadratic Gaussian (LQG) structure is synthesized on the identified dominant modal realization, combining damping action with reconstruction of reduced states from WAMS measurements. Finally, the symbiosis between the proposed realization and the controller is validated on the Kundur and New England–New York power networks by using modal displacement and nonlinear post-fault simulations, demonstrating coordinated damping through selected AVR supplementary inputs.
Keywords: wide-area damping controller; dominant modal realization; power-system linear model; system identification; linear quadratic Gaussian wide-area damping controller; dominant modal realization; power-system linear model; system identification; linear quadratic Gaussian

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MDPI and ACS Style

Paternina, M.R.A.; Rios, G.L.; Villalobos, P.M.; Zamora-Mendez, A.; Parajuli, A.; Castrillón-Franco, C.; Mejia-Ruiz, G.E.; Velazquez-Ibañez, A.; Segundo Sevilla, F.R.; Korba, P. Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition. Energies 2026, 19, 4433. https://doi.org/10.3390/en19184433

AMA Style

Paternina MRA, Rios GL, Villalobos PM, Zamora-Mendez A, Parajuli A, Castrillón-Franco C, Mejia-Ruiz GE, Velazquez-Ibañez A, Segundo Sevilla FR, Korba P. Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition. Energies. 2026; 19(18):4433. https://doi.org/10.3390/en19184433

Chicago/Turabian Style

Paternina, Mario R. Arrieta, Gilberto Lopez Rios, Pablo Moreno Villalobos, Alejandro Zamora-Mendez, Amrit Parajuli, Camila Castrillón-Franco, Gabriel E. Mejia-Ruiz, Alfredo Velazquez-Ibañez, Felix Rafael Segundo Sevilla, and Petr Korba. 2026. "Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition" Energies 19, no. 18: 4433. https://doi.org/10.3390/en19184433

APA Style

Paternina, M. R. A., Rios, G. L., Villalobos, P. M., Zamora-Mendez, A., Parajuli, A., Castrillón-Franco, C., Mejia-Ruiz, G. E., Velazquez-Ibañez, A., Segundo Sevilla, F. R., & Korba, P. (2026). Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition. Energies, 19(18), 4433. https://doi.org/10.3390/en19184433

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