Measurement-based correlation approach for power system dynamic response estimation
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Liu, Yong
Liu, Yilu
Sun, Kai
Bhatt, Navin
Del Rosso, Alberto
Farantatos, Evangelos
Wang, Xiaoru
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Abstract
Understanding power system dynamics is essential for online stability assessment and control applications. Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. Finally, the proposed correlation approach is applied to the real FDR data for power system dynamic response estimation. The results indicate that the correlation approach could help select better input locations and thus improve the response estimation accuracy.
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IET Generation, Transmission & Distribution
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9
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12
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© 2015 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Measurement-based correlation approach for power system dynamic response estimation, IET Generation, Transmission & Distribution, 2015, 9 (12), pp. 1474-1484, which has been published in final form at https://doi.org/10.1049/iet-gtd.2014.1013. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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Electrical engineering
Electronics, sensors and digital hardware
Science & Technology
Engineering, Electrical & Electronic
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Bai, F; Liu, Y; Liu, Y; Sun, K; Bhatt, N; Del Rosso, A; Farantatos, E; Wang, X, Measurement-based correlation approach for power system dynamic response estimation, IET Generation, Transmission & Distribution, 2015, 9 (12), pp. 1474-1484