Distinction of the property of low frequency oscillation based on ARMA mode identification

被引：0
|
作者：
Tu, Lian [1 ]
Liu, Dichen [1 ]
Liao, Qingfen [1 ]
Dong, Feifei [1 ]
Ji, Xingpei [1 ]
Song, Chunli [1 ]
Zhu, Zhenshan [1 ]
机构：
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Hubei, Peoples R China
来源：
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3 | 2013年 / 336-338卷
关键词：
ARMA mode identification; forced power oscillation; low frequency oscillation; negative damping; property distinction;
D O I：
10.4028/www.scientific.net/AMM.336-338.1086
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1086 / 1091
页数：6
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