摘要
随着电力电子装置在源-网-荷侧的大规模应用,电力系统功率振荡表现出较强的非平稳特性和模式耦合性。本文提出一种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方法。多尺度线调频基稀疏信号分解方法能够在动态的时间支撑区内对信号进行投影分解,逐次获得能量最大的信号分量,具有良好的时频聚集性,特别适用于非平稳振荡信号的分解。电力系统的功率振荡信号本质上是一种多模态时变振动系统响应信号。首先通过多尺度线调频基稀疏信号分解方法得到多个单模态振动响应信号,然后根据单模态振动响应特性采用最小二乘法进行振荡特征的提取。仿真算例和实例证明了该方法在电力系统非平稳振荡信号特征提取中的有效性和适应性。
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 ineach 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 thevalidity and adaptability of the proposed method in extracting modes from non-stationary oscillation signals in power system.
作者
孙正龙
蔡国伟
王雨薇
杨德友
刘铖
Sun Zhenglong;Cai Guowei;Wang Yuwei;Yang Deyou;Liu Cheng(School of Electrical Engineering Northeast Electric Power University Jilin 132012 China;Jilin Power Supply Company of State Grid Jilin Electric Power Corporation Ltd.Jilin 132010 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2017年第6期31-40,共10页
Transactions of China Electrotechnical Society
基金
国家重点研发计划(2016YFB0900100)
国家自然科学基金(51377017)资助项目
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
Multi-scale chirplet
sparse signal decomposition
non-stationary signal
mode coupling
