基于CEEMD-HT算法的谐波分析方法  

Harmonic Analysis Method Based on CEEMD-HT Algorithm

作　　者：陈雷[1] 陈国初[1] 朱志权 CHEN Lei CHEN Guochu ZHU Zhiquan(Shanghai DianJi University, Shanghai 201306, China Shanghai Electric Wind Power Equipment Co. Ltd., Shanghai 200241, China)

机构地区：[1]上海电机学院电气学院,上海201306 [2]上海电气风电设备有限公司工程部,上海200241

出　　处：《电力科学与工程》2017年第1期61-66,共6页Electric Power Science and Engineering

基　　金：上海市教育委员会科研创新项目资助(13YZ140);上海市教育委员会重点学科资助(J51901)

摘　　要：为了更好的对谐波进行分析,在理论上对比分析了传统的经验模态分解(Empirical Mode Decomposition,EMD)以及互补集合经验模态分解(Complementary Ensemble Empirical Mode Decomposition,CEEMD),之后分别对其进行仿真,得出CEEMD算法要比EMD算法的分解效果更好;用CEEMD算法替换HT当中的EMD算法,从而得到一种新的的谐波分析方法——基于CEEMD-HT的谐波分析方法。仿真结果表明,该谐波分析方法能够分析出目标信号中含有的不同频率信息,同时能够得出目标信号中具体时刻所对应的瞬时频率以及瞬时幅值等信息,达到对信号进行分析的目的,效果良好。In order to better analyze the harmonics,the empirical mode decomposition（EMD） and complementary ensemble empirical mode decomposition（CEEMD） are compared in theory. After simulation,it is concluded that the CEEMD algorithm is better than the EMD algorithm; and by using the CEEMD algorithm to replace the EMD algorithm in HT,a new harmonic analysis method based on CEEMD-HT is obtained. Simulation results show that this method can analyze the distorted signal with different frequency information,and draw specific moments in the target signal corresponding to the instantaneous frequency and instantaneous amplitude information at the same time. The purpose of the analysis of the signal is achieved with good effect

关 键 词：经验模态分解 互补集合经验模态分解 希尔伯特变换 谐波分析 

分 类 号：TM711[电气工程—电力系统及自动化]