基于EEMD与多分辨SVD的电能质量信号自适应去噪方法  

Adaptive Denoising Method of Power Quality Signal Based on EEMD and Multi-resolution SVD

作　　者：夏杰 XIA Jie(State Grid Weifang Power Supply Company,Weifang 261000,China)

机构地区：[1]国网山东省电力公司潍坊供电公司,山东潍坊261000

出　　处：《山东电力技术》2020年第4期45-50,共6页Shandong Electric Power

摘　　要：针对电能质量信号去噪问题,提出一种基于集合经验模态分解(EEMD)与多分辨奇异值分解(MRSVD)的自适应去噪新方法。首先对原始含噪信号进行EEMD分解,并对所得固有模态函数按设定阈值进行筛分;然后对符合处理条件的模态函数进行合适层数的二分递推SVD分解,得到相应的近似分量;最后利用处理后分量进行信号重构,完成去噪。通过利用电压暂降信号进行仿真,证明该方法去噪效果较好,且具有自适应性,能有效保留原始信号的特征信息,为电能质量信号去噪提供了新思路。Aiming at the problem of power quality signal denoising,a new adaptive denoising method based on ensemble empirical mode decomposition(EEMD) and multi-resolution singular value decomposition(MRSVD) is proposed in this paper.Firstly,the noise of the original signal is decomposed by EEMD,and the intrinsic mode function is screened according to the set threshold.Secondly,the binary resursive SVD decomposition with the appropriate number of layers is carried out for the mode function that satisfies the processing conditions.Finally,the signal is reconstructed by using the processed components to complete the denoising.The simulation of voltage sag signal shows that the proposed method is effective and adaptive,and can effectively retain the characteristic information of the original signal,which provides a new idea for power quality signal denoising.

关 键 词：电能质量 EEMD MRSVD 电压暂降 去噪 

分 类 号：TM773[电气工程—电力系统及自动化]