期刊
JOURNAL OF POWER ELECTRONICS
卷 22, 期 8, 页码 1334-1346出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s43236-022-00440-y
关键词
Power quality disturbance; Wavelet packet transform; ICEEMDAN; Permutation entropy; Hilbert transform
资金
- Shandong University of Technology
- Zibo City Integration Development Project [2019ZBXC011, 2019ZBXC498]
This paper proposes a power quality disturbance detection method based on wavelet packet transform and improved complete ensemble empirical mode decomposition with adaptive noise. The method improves detection accuracy and speed, and has a strong anti-noise capability.
Given the low accuracy of power quality disturbance (PQD) detection, a PQD detection method based on the wavelet packet transform (WPT) and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is proposed in this paper. First, the wavelet packet transform is used to preprocess the signal to suppress noise interference. Then, ICEEMDAN technology is adopted to calculate the local mean value by adding adaptive noise. In addition, different intrinsic mode functions (IMFs) are obtained through residual subtraction. Furthermore, the effective IMFs are calculated by the permutation entropy method to reduce false modal components and to suppress residual noise. Finally, a Hilbert transform (HT) is performed to extract the detection signal parameters. The obtained results demonstrate that this method can improve the detection accuracy and PQD speed, which results in a strong anti-noise capability.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据