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

Research output: Chapter in Book/Inform › Conference contribution

32 Scopus citations

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.

Original language	English (US)
Title of host publication	2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	918-922
Number of pages	5
ISBN (Electronic)	9781728156354, 2163-5145
ISBN (Print)	978-1-7281-5636-1, 978-1-7281-5634-7
DOIs	https://doi.org/10.1109/ISIE45063.2020.9152296
State	Published - Jun 19 2020
Event	29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Netherlands Duration: Jun 17 2020 → Jun 19 2020

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	2020-June

Conference

Conference	29th IEEE International Symposium on Industrial Electronics, ISIE 2020
Country/Territory	Netherlands
City	Delft
Period	6/17/20 → 6/19/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/ISIE45063.2020.9152296

Cite this

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. In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 918-922). Article 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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note = "29th IEEE International Symposium on Industrial Electronics, ISIE 2020 ; Conference date: 17-06-2020 Through 19-06-2020",

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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. in 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, Netherlands, 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).

Research output: Chapter in Book/Inform › Conference contribution

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

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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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M3 - Conference contribution

AN - SCOPUS:85089520512

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ER -

Chamorro HR, Orjuela-Canon AD, Ganger D, Persson M, Gonzalez-Longatt F, Sood VK et al. Nadir Frequency Estimation in Low-Inertia Power Systems. In 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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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