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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: email

Energy Engineering 2022, 119(4), 1453-1466. https://doi.org/10.32604/ee.2022.018448

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.

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Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination

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APA Style
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. https://doi.org/10.32604/ee.2022.018448
Vancouver Style
Que H, Lin G, Guo W, Feng X, Jiang Z, Cao Y, et al. Study of denoising in the electricity anti-stealing detection based on VMD-WTD combination. Energ Eng. 2022;119(4):1453-1466 https://doi.org/10.32604/ee.2022.018448
IEEE Style
H. Que et al., "Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination," Energ. Eng., vol. 119, no. 4, pp. 1453-1466. 2022. https://doi.org/10.32604/ee.2022.018448



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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