基于MEEMD与HT的谐波检测方法  

Harmonic Detection Method Based on Modified Ensemble Empirical Mode Decomposition and Hilbert Transform

作　　者：周军[1] 李永祥 任佳鹏 ZHOU Jun;LI Yongxiang;REN Jiapeng(School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)

机构地区：[1]东北电力大学电气工程学院,吉林132012

出　　处：《电力系统及其自动化学报》2023年第6期73-82,共10页Proceedings of the CSU-EPSA

基　　金：吉林省发展和改革委员会产业技术研究与开发资助项目(2019C057-3)。

摘　　要：为解决采用希尔伯特-黄变换进行谐波分析对信号进行分解时出现的模态混叠、端点效应、抗噪能力弱及虚假分量等问题,提出一种基于改进型总体平均经验模态分解和改进的自适应波形匹配延拓结合希尔伯特变换的谐波检测新方法。首先,采用改进型总体平均经验模态分解算法和改进的自适应波形匹配延拓方法对谐波信号进行分解,获得一系列固有模态函数,再对各个固有模态函数进行希尔伯特变换,从而得到各次谐波的瞬时幅值和瞬时频率。采用经验模态分解、总体平均经验模态分解、完全经验模态分解算法和文中所提方法分别与希尔伯特变换结合进行谐波分析,仿真结果表明,所提方法能有效抑制模态混叠和端点效应,其受参数影响较小,自适应性较强,产生较少的虚假分量,且在强噪声下仍然具有很高的谐波检测精度。To solve the problems such as modal aliasing,end effect,weak anti-noise capability and false components when using Hilbert-Huang transform(HHT)to decompose the harmonic signal,a novel harmonic detection method based on modified ensemble empirical mode decomposition(MEEMD)and improved adaptive waveform matching con⁃tinuation combined with Hilbert transform(HT)is proposed.First,the MEEMD algorithm and the improved adaptive waveform matching continuation method are used to decompose the harmonic signal to obtain a series of intrinsic mode function(IMF).Then,HT is applied to each IMF to obtain the instantaneous amplitude and frequency of each harmon⁃ic.The EMD,EEMD,CEEMD algorithms and the proposed method are combined with HT to perform harmonic analy⁃sis,respectively.Simulation results show that the proposed method can effectively suppress modal aliasing and end ef⁃fect.It is less affected by parameters,and it has a strong adaptability,generates fewer false components,and still has a high harmonic detection accuracy under strong noise.

关 键 词：谐波检测 模态混叠 端点效应 去噪 希尔伯特变换 

分 类 号：TM712[电气工程—电力系统及自动化]