基于Root-MUSIC和Prony算法的电压闪变检测  

Root-MUSIC and Prony based parameter estimation of voltage flicker

作　　者：张昇[1] 罗日成[1] 胡宗宇[1] 黄彪[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410004

出　　处：《电力科学与技术学报》2013年第4期43-48,共6页Journal of Electric Power Science And Technology

基　　金：国家自然科学基金(50977003)

摘　　要：电压闪变是电能质量的一个重要指标.为实现对电压闪变参数的准确测量,提出基于求根多重信号分类法和Prony算法的闪变参数检测方法.先对信号数据组成的矩阵进行特征值分解,得出信号子空间和噪声子空间,利用他们的相互正交关系通过单位圆上的根估计频率大小,同时利用Prony算法中的最小二乘法求得幅值信息.Matlab仿真结果表明该方法在低信噪比下利用Root-MUSIC法能准确检测频率,并结合最小二乘法在小样本数据上的优势,有效提高了幅值检测的准确度.Voltage flicker is one high-accuracy measurement of of the important indicators of power quality. In order to realize voltage flicker, a Root-MUSIC and Prony based voltage flicker measurement method was proposed in this paper. First,Eigen-value decomposition was used for the autocorrelation of matrix constructed by sample data, then the signal suhspace and the noise subspace were obtained. The signal frequencies were estimated from the roots on the unit circle with the help of orthorgonality of the two subspaces, and the amplitude information were esti- mated at the same time based on the least square method of Prony algorithm. Matlab simulation results showed the accuracy of Root-MUSIC algorithm for frequency estimation of low SNR. Benefiting from the least square method of Prony algorithm in processing small sample data, the amplitudes estimating was improved effectively.

关 键 词：电压闪变 Root—MUSIC算法 PRONY算法 单位圆 根 

分 类 号：TM71[电气工程—电力系统及自动化]