Study of Denoising in the Electricity Anti-Stealing Detection Based on VMD-WTD Combination
作者机构：Metrology Center of Guangdong Power Grid CorporationShenzhen518049China School of AutomationGuangdong University of TechnologyGuangzhou510006China China-EU School of Clean and Renewable EnergyHuazhong University of Science and TechnologyWuhan430074China
出 版 物：《Energy Engineering》 (能源工程（英文）)
年 卷 期：2022年第119卷第4期
页 面：1453-1466页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by China Southern Power Grid Corporation,GrantNo.GDKJXM20185800 the National Natural Science Foundation of China,Grant No.62073084
主 题：Electricity stealing electromagnetic interference variable mode wavelet threshold instantaneous frequency mean
摘 要：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 ***,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 *** 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 ***,each sensitive mode was ***,the reconstructed signal denoised using the wavelet threshold to obtain the denoised *** 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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