摘要
针对目前尚未完全解决负阻尼低频振荡和强迫功率振荡性质定量区分的现状,通过低频振荡机理分析得出2种振荡在振荡频率和阻尼比方面的区别,提出定量区分低频振荡性质的判据。采用基于加权递推最小二乘算法的ARMA模态辨识对振荡数据进行动态加窗辨识,根据辨识所得振荡模态的频率和阻尼比的变化判别低频振荡类型。算例分析表明该方法是可行和有效的。
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 identified by ARMA model based on weighted recursive least squares algorithm, and the identification results of frequency and damping ratio are compared with the inherent mode of the system, thus low frequency type is distinguished. The simulative results have shown that the method is feasible and effective.
出处
《陕西电力》
2013年第5期9-13,共5页
Shanxi Electric Power
基金
国家高技术研究发展计划(863计划:2011AA05A119)
中央高校基本科研业务费专项基金(武汉大学2012207020207)
关键词
ARMA模态辨识
强迫功率振荡
负阻尼低频振荡
阻尼比
性质区分
ARMA mode identification
forced power oscillation
low frequency oscillation
negative damping
property distinction
