基于KDICA的间谐波分层提取方法  被引量:2

Multi-Layer Extracting Method of Inter-Harmonic Based on KDICA

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作  者:张宇辉[1] 段伟润[1] 汪利君[2] 李哲[1] 兰华[1] 

机构地区:[1]东北电力大学电气工程学院,吉林吉林132012 [2]北京电力工程公司北京100070

出  处:《电测与仪表》2013年第9期31-36,共6页Electrical Measurement & Instrumentation

摘  要:提出一种基于核密度估计独立分量分析(KDICA)的间谐波分层提取方法。对信号时间序列的Hankel矩阵进行奇异值分解(SVD),利用奇异值的加权能量贡献率确定谐波个数。采用快速傅里叶变换(FFT)、最小二乘法(LS)并结合Teager能量算子,确定基波、谐波与间谐波的相关参数,构造合适的虚拟观测信号,采用KDICA算法,分层提取基波、谐波及间谐波信号。在实时性要求不高和缺少先验知识(如频率和相位)的情况下,能够较高精度地检测出小幅值间谐波成分。仿真结果验证了方法的有效性。An inter-harmonic multi-extracting method based on kernel density independent component analysis (KDI- CA) is proposed in this paper. The Hankel matrix is reconstructed based on time series, then according to the singu- lar values' percent of contribution to total energy ( PCTE), the number of harmonics are known. The method combines FFT, least square method and Teager energy operator to determine the fundamental and harmonic and inter-harmonic parameters. And it constructs the appropriate virtual observed signals and hierarchically extracts the fundamental and harmonic and inter-harmonic with the help of KDICA. In the case of less real-time demand, the method can accurate- ly detect the small amplitude inter-harmonic without prior knowledge. The proceeding result of simulation model proves its effectiveness.

关 键 词:分层提取 间谐波 核密度估计 独立分量分析 FFT TEAGER能量算子 最小二乘 

分 类 号:TM714[电气工程—电力系统及自动化]

 

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