Vol.119, No.4, 2022, pp.1453-1466, doi:10.32604/ee.2022.018448
OPEN ACCESS
ARTICLE
Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination
  • Huakun Que1, Guolong Lin2, Wenchong Guo1, Xiaofeng Feng1, Zetao Jiang1, Yunfei Cao2,*, Jinmin Fan2, Zhixian Ni3
1 Metrology Center of Guangdong Power Grid Corporation, Shenzhen, 518049, China
2 School of Automation, Guangdong University of Technology, Guangzhou, 510006, China
3 China-EU School of Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan, 430074, China
* Corresponding Author: Yunfei Cao. Email:
Received 25 July 2021; Accepted 17 September 2021; Issue published 23 May 2022
Abstract
In order to solve the failure of electricity anti-stealing detection device triggered by the noise mixed in high-frequency electricity stealing signals, a denoising method based on variational mode decomposition (VMD) and wavelet threshold denoising (WTD) was applied to extract the effective high-frequency electricity stealing signals. First, the signal polluted by noise was pre-decomposed using the VMD algorithm, the instantaneous frequency means of each pre-decomposed components was analyzed, so as to determine the optimal K value. The optimal K value was used to decompose the polluted signal into K intrinsic mode components, and the sensitive mode components were determined through the cross-correlation function. Next, each sensitive mode was reconstructed. Finally, the reconstructed signal denoised using the wavelet threshold to obtain the denoised signal. The simulation analysis and experimental results show that the proposed method is superior to the traditional VMD method, FFT method and EMD method, as it can effectively eliminate the noise and enhance the reliability of high-frequency electricity stealing signal detection.
Graphical Abstract
Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination
Keywords
Electricity stealing; electromagnetic interference; variable mode; wavelet threshold; instantaneous frequency mean
Cite This Article
Que, H., Lin, G., Guo, W., Feng, X., Jiang, Z. et al. (2022). Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination. Energy Engineering, 119(4), 1453–1466.
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