Nadir Frequency Estimation in Low-Inertia Power Systems

Harold R. Chamorro; Alvaro D. Orjuela-Canon; David Ganger; Mattias Persson; Francisco Gonzalez-Longatt; Vijay K. Sood; Wilmar Martinez

doi:10.1109/ISIE45063.2020.9152296

Nadir Frequency Estimation in Low-Inertia Power Systems

Harold R. Chamorro
, Alvaro D. Orjuela-Canon
, David Ganger
, Mattias Persson
, Francisco Gonzalez-Longatt
, Vijay K. Sood
, Wilmar Martinez

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

33 Citas (Scopus)

Resumen

Increasing amounts of non-synchronous generation in power grids are bringing reductions in system inertia. In a grid with extremely low inertia, the estimation of frequency indicators such as the frequency nadir can be used to feed into predictive system controls that would avoid nuisances such as triggering system protection systems, avoiding needless blackouts. In this paper, the timing of a frequency nadir is predicted using a Nonlinear Auto-Regressive (NAR) model based on an Artificial Neural Network (ANN). The estimation method is tested under a gradual inertia reduction in order to observe the adaptability of the method, under various prediction horizons.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	918-922
Número de páginas	5
ISBN (versión digital)	9781728156354, 2163-5145
ISBN (versión impresa)	978-1-7281-5636-1, 978-1-7281-5634-7
DOI	https://doi.org/10.1109/ISIE45063.2020.9152296
Estado	Publicada - jun. 19 2020
Evento	29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Países Bajos Duración: jun. 17 2020 → jun. 19 2020

Serie de la publicación

Nombre	IEEE International Symposium on Industrial Electronics
Volumen	2020-June

Conferencia

Conferencia	29th IEEE International Symposium on Industrial Electronics, ISIE 2020
País/Territorio	Países Bajos
Ciudad	Delft
Período	6/17/20 → 6/19/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Áreas temáticas de ASJC Scopus

Ingeniería eléctrica y electrónica
Ingeniería de control y sistemas

Acceder al documento

10.1109/ISIE45063.2020.9152296

Otros archivos y enlaces

Citar esto

Chamorro, H. R., Orjuela-Canon, A. D., Ganger, D., Persson, M., Gonzalez-Longatt, F., Sood, V. K., & Martinez, W. (2020). Nadir Frequency Estimation in Low-Inertia Power Systems. En 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 918-922). Artículo 9152296 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE45063.2020.9152296

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title = "Nadir Frequency Estimation in Low-Inertia Power Systems",

abstract = "Increasing amounts of non-synchronous generation in power grids are bringing reductions in system inertia. In a grid with extremely low inertia, the estimation of frequency indicators such as the frequency nadir can be used to feed into predictive system controls that would avoid nuisances such as triggering system protection systems, avoiding needless blackouts. In this paper, the timing of a frequency nadir is predicted using a Nonlinear Auto-Regressive (NAR) model based on an Artificial Neural Network (ANN). The estimation method is tested under a gradual inertia reduction in order to observe the adaptability of the method, under various prediction horizons.",

author = "Chamorro, \{Harold R.\} and Orjuela-Canon, \{Alvaro D.\} and David Ganger and Mattias Persson and Francisco Gonzalez-Longatt and Sood, \{Vijay K.\} and Wilmar Martinez",

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Chamorro, HR, Orjuela-Canon, AD, Ganger, D, Persson, M, Gonzalez-Longatt, F, Sood, VK & Martinez, W 2020, Nadir Frequency Estimation in Low-Inertia Power Systems. En 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings., 9152296, IEEE International Symposium on Industrial Electronics, vol. 2020-June, Institute of Electrical and Electronics Engineers Inc., pp. 918-922, 29th IEEE International Symposium on Industrial Electronics, ISIE 2020, Delft, Países Bajos, 6/17/20. https://doi.org/10.1109/ISIE45063.2020.9152296

Nadir Frequency Estimation in Low-Inertia Power Systems. / Chamorro, Harold R.; Orjuela-Canon, Alvaro D.; Ganger, David et al.
2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 918-922 9152296 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June).

Producción científica: Capítulo en Libro/Informe › Contribución a la conferencia

TY - GEN

T1 - Nadir Frequency Estimation in Low-Inertia Power Systems

AU - Chamorro, Harold R.

AU - Orjuela-Canon, Alvaro D.

AU - Ganger, David

AU - Persson, Mattias

AU - Gonzalez-Longatt, Francisco

AU - Sood, Vijay K.

AU - Martinez, Wilmar

PY - 2020/6/19

Y1 - 2020/6/19

N2 - Increasing amounts of non-synchronous generation in power grids are bringing reductions in system inertia. In a grid with extremely low inertia, the estimation of frequency indicators such as the frequency nadir can be used to feed into predictive system controls that would avoid nuisances such as triggering system protection systems, avoiding needless blackouts. In this paper, the timing of a frequency nadir is predicted using a Nonlinear Auto-Regressive (NAR) model based on an Artificial Neural Network (ANN). The estimation method is tested under a gradual inertia reduction in order to observe the adaptability of the method, under various prediction horizons.

AB - Increasing amounts of non-synchronous generation in power grids are bringing reductions in system inertia. In a grid with extremely low inertia, the estimation of frequency indicators such as the frequency nadir can be used to feed into predictive system controls that would avoid nuisances such as triggering system protection systems, avoiding needless blackouts. In this paper, the timing of a frequency nadir is predicted using a Nonlinear Auto-Regressive (NAR) model based on an Artificial Neural Network (ANN). The estimation method is tested under a gradual inertia reduction in order to observe the adaptability of the method, under various prediction horizons.

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Chamorro HR, Orjuela-Canon AD, Ganger D, Persson M, Gonzalez-Longatt F, Sood VK et al. Nadir Frequency Estimation in Low-Inertia Power Systems. En 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 918-922. 9152296. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE45063.2020.9152296

Nadir Frequency Estimation in Low-Inertia Power Systems

Resumen

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ODS de las Naciones Unidas

Áreas temáticas de ASJC Scopus

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