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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Vydané v:Applied Mechanics and Materials Ročník 336-338; s. 1086 - 1091
Hlavní autori: Song, Chun Li, Liu, Di Chen, Zhu, Zhen Shan, Dong, Fei Fei, Ji, Xing Pei, Tu, Lian, Liao, Qing Fen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Zurich Trans Tech Publications Ltd 01.07.2013
Predmet:
Low Frequency Oscillation (LFO)
ARMA Mode Identification
Property Distinction
Negative Damping
Forced Power Oscillation
ISBN:9783037857519, 303785751X
ISSN:1660-9336, 1662-7482, 1662-7482
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Abstract 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.
AbstractList 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.
Author Liu, Di Chen
Liao, Qing Fen
Tu, Lian
Ji, Xing Pei
Song, Chun Li
Zhu, Zhen Shan
Dong, Fei Fei
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Cites_doi 10.1109/tpas.1969.292452
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Keywords Low Frequency Oscillation (LFO)
ARMA Mode Identification
Property Distinction
Negative Damping
Forced Power Oscillation
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