Real-time inertia estimation via ARMAX model representation and synchrophasor measurements

This paper introduces the real-time implementation with the actual hardware architecture environment (HAE) of an online estimation method that tracks the equivalent time-varying inertia in power systems. The proposed method enables automated and accurate inertia estimation, exploiting the ARMAX model representation and the Teager-Kaiser energy operator (TKEO) disturbance time detector. The effectiveness and high accuracy of the proposed framework are successfully validated in laboratory conditions with actual synchronised measurements from Phasor Measurement Units (PMUs) over a real-time emulated New England 39-bus system. The estimate is achieved with a relative error ranging from 0.1% to 7%, even under noisy conditions and atypical measurement values. The literature reviewed does not report any estimation method that is more accurate than the one proposed in this work.

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Publication Details

Journal
IEEE Latin America Transactions
Published
2025-04-22
DOI
https://doi.org/10.1109/tla.2025.10974367
Citations
4
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
5.10
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article

Real-time inertia estimation via ARMAX model representation and synchrophasor measurements

Lucas L. Fernandes, Alejandro Zamora‐Mendez, Mario R. Arrieta Paternina, Gabriel E. Mejia‐Ruiz et al.
4 citations
IEEE Latin America Transactions
Advanced Vision and Imaging
5.10
article

Real-time inertia estimation via ARMAX model representation and synchrophasor measurements

Lucas L. Fernandes, Alejandro Zamora‐Mendez, Mario R. Arrieta Paternina, Gabriel E. Mejia‐Ruiz, José Manuel Ramos Guerrero, Juan M. Ramı́rez, Juan Ramón Rodriguez‐Rodrıguez, Alexander Sanchez-Ocampo, Felix Munguia-Perez
article en
4 citations

Abstract

This paper introduces the real-time implementation with the actual hardware architecture environment (HAE) of an online estimation method that tracks the equivalent time-varying inertia in power systems. The proposed method enables automated and accurate inertia estimation, exploiting the ARMAX model representation and the Teager-Kaiser energy operator (TKEO) disturbance time detector. The effectiveness and high accuracy of the proposed framework are successfully validated in laboratory conditions with actual synchronised measurements from Phasor Measurement Units (PMUs) over a real-time emulated New England 39-bus system. The estimate is achieved with a relative error ranging from 0.1% to 7%, even under noisy conditions and atypical measurement values. The literature reviewed does not report any estimation method that is more accurate than the one proposed in this work.

IEEE Latin America TransactionsVol. 23(5)
Universidad Michoacana de San Nicolás de Hidalgo (MX), Universidade Estadual de Campinas (UNICAMP) (BR), Centre of Advanced Studies (RU), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 5%
Advanced Vision and Imaging
5.10
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