Distinction of the Property of Low Frequency Oscillation Based on ARMA Mode Identification

Aiming at how to solve the question of quantitatively distinguish negative damping low frequency oscillation and forced power oscillation, the difference in frequency and damping ratio between the two kinds of oscillations have been discovered through mechanism analysis, and a new quantitative disti...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 336-338; S. 1086 - 1091
Hauptverfasser: Song, Chun Li, Liu, Di Chen, Zhu, Zhen Shan, Dong, Fei Fei, Ji, Xing Pei, Tu, Lian, Liao, Qing Fen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.07.2013
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ISBN:9783037857519, 303785751X
ISSN:1660-9336, 1662-7482, 1662-7482
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Zusammenfassung:Aiming at how to solve the question of quantitatively distinguish negative damping low frequency oscillation and forced power oscillation, the difference in frequency and damping ratio between the two kinds of oscillations have been discovered through mechanism analysis, and a new quantitative distinction criterion for the property of the low frequency is proposed. The oscillation data is windowing identified by ARMA model based on weighted recursive least squares algorithm dynamically, and low frequency type can be distinguished according to the changes of oscillation frequency and damping ratio during the oscillation. The simulative results have shown that the method is feasible and effective.
Bibliographie:Selected, peer reviewed papers from the 2013 2nd International Conference on Measurement, Instrumentation and Automation (ICMIA 2013), April 23-24, 2013, Guilin, China
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ISBN:9783037857519
303785751X
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.336-338.1086