电工技术学报2017，Vol.32Issue(6)：31-40,10.
基于多尺度线调频基稀疏信号分解的电力系统非平稳振荡信号特征提取
Extracting Modes from Non-Stationary Oscillation Signals for Power System Based on Multi-Scale Chirplet Sparse Signal Decomposition
摘要
Abstract
Along with the large-scale integration of power electronic equipment in power system, the oscillation of power system shows the features of non-stationary and mode coupling obviously. Based on multi-scale chirplet sparse signal decomposition (MCSSD), a method for extracting modes from non-stationary oscillation signals is proposed in this paper. The MCSSD method can decompose a signal into different dynamic time regions, and generate the signal component with the largest energy in each step with excellent aggregation of time-frequency. It is quite suitable for decomposing non-stationary signals. The power oscillation signal in power system can be considered as the response of multiple-modal system. The single modal responses are firstly obtained by MCSSD, and then the oscillation characteristic parameters are extracted by least square method. Cases study has proved the validity and adaptability of the proposed method in extracting modes from non-stationary oscillation signals in power system.关键词
多尺度线调频基/稀疏信号分解/非平稳信号/模态混叠Key words
Multi-scale chirplet/sparse signal decomposition/non-stationary signal/mode coupling分类
信息技术与安全科学引用本文复制引用
孙正龙,蔡国伟,王雨薇,杨德友,刘铖..基于多尺度线调频基稀疏信号分解的电力系统非平稳振荡信号特征提取[J].电工技术学报,2017,32(6):31-40,10.基金项目
国家重点研发计划(2016YFB0900100)和国家自然科学基金(51377017)资助项目. （2016YFB0900100）
