矩阵分解在暂态电能质量扰动检测方面的应用  

The Application of Matrix Decomposition in Detecting Transient Power Quality Disturbance

作　　者：赵燕[1] 赵震宇[1] 祝婧[1] 

机构地区：[1]江西省电力科学研究院,南昌330096

出　　处：《电测与仪表》2013年第4期69-72,共4页Electrical Measurement & Instrumentation

摘　　要：针对暂态电能质量问题日益突出的实际情况,提出了基于矩阵分解技术的暂态电能质量扰动检测方法。首先将一维电能质量扰动信号构造成Hankel矩阵,根据矩阵奇异值分解原理完成对扰动信号的线性分离,然后分析各层分量信号所含信息的价值,确定用第三层分量信号中的突变信息来检测扰动信号的发生、截止时刻。仿真结果表明,该方法有效易行。According to the real situation of transient power quality problems which become increasingly prominent, this paper introduces a new method to detect transient power quality disturbance based on matrix decomposition technique. First the one-dimensional power quality disturbance signal is structured into a Hankel matrix and according to the singular vector decomposition, the linear separation of the disturbance signal is completed. Then the information contained in each layer of component signal is analyzed, and the abrupt information in the third layer of the component signal is used to detect the initial and cutoff time. The simulation results show that the method is effective and easy oerformed.

关 键 词：矩阵分解 信号分离 扰动检测 

分 类 号：TM714[电气工程—电力系统及自动化]