电力系统保护与控制2012，Vol.40Issue(11)：1-5,29,6.
低频振荡模式辨识中信号非线性去趋的平滑先验方法
Smoothness prior approach to removing nonlinear trends from signals in identification of low frequency oscillation mode
摘要
Abstract
The online identification of low frequency oscillation mode based on measured signal from PMU is the base of damping control. Removing nonlinear trend from the signal effectively can ensure the precision of mode identification. A method named smoothness prior approach is proposed to remove the nonlinear trend from measured signal. In order to meet the demand of removing nonlinear trend for identification of low frequency oscillation, based on analyzing the basic principle of smoothness prior approach, it determines regularization parameter of smoothness prior approach according to its characteristic of frequency response. It is used to analyze the simulation signals from 1EEE-39 bus power system and the measured signals in some power grid, and compared with empirical mode decomposition and digital filter method. The results demonstrate that this proposed method can successfully remove nonlinear trend from the signal and improve the speed of computation, as well as the precision of mode identification, which has a relatively high practical value.关键词
平滑先验法/非线性趋势/实测信号/在线辨识/低频振荡模式Key words
smoothness prior approach/ nonlinear trend/ measured signal/ online identification/ low frequency oscillation mode分类
信息技术与安全科学引用本文复制引用
周念成,王予疆,陈刚,徐玉韬,刘贵富,何潜,李军..低频振荡模式辨识中信号非线性去趋的平滑先验方法[J].电力系统保护与控制,2012,40(11):1-5,29,6.基金项目
国家重点基础研究发展计划(973计划)资助项目(2009CB724505-1) （973计划）
重庆电力公司科技项目(20100658) （20100658）
