A measurement-based approach for power system instability early warning

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Author(s)
Bai, Feifei
Liu, Yong
Liu, Yilu
Sun, Kai
Bhatt, Navin
Del Rosso, Alberto
Farantatos, Evangelos
Wang, Xiaoru
Griffith University Author(s)
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2016
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Abstract

Early warning of impending instability in a power system under disturbance conditions is important for preventing of system collapse. A measurement-based approach is proposed to assess the potential power system transient instability problem under cascading outages. Where a measurement-based index is obtained as the estimation accuracy of a linear autoregressive exogenous (ARX) model to estimate the dynamic response of the power system and indicate the system stability to some extent after a disturbance. The proposed approach was verified using a set of marginally stable cases in a 179-bus WECC equivalent power system. Then the instability early warning threshold for this system is obtained as 0.44.

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Protection and Control of Modern Power Systems

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1

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1

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© 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Electrical energy transmission, networks and systems

Science & Technology

Energy & Fuels

Engineering, Electrical & Electronic

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Bai, F; Liu, Y; Liu, Y; Sun, K; Bhatt, N; Del Rosso, A; Farantatos, E; Wang, X, A measurement-based approach for power system instability early warning, Protection and Control of Modern Power Systems, 2016, 1 (1), pp. 4

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