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)an...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.展开更多
With the rapid development of national economy, the scale of power supply system is gradually expanding, which inevitably leads to the problem of electricity theft. Stealing electricity destroys the normal order of po...With the rapid development of national economy, the scale of power supply system is gradually expanding, which inevitably leads to the problem of electricity theft. Stealing electricity destroys the normal order of power consumption and poses a serious threat to the safety of power grid operation and personal life and property. The burning and damage of power transformer caused by stealing electricity happen from time to time, so anti stealing electricity is not only a problem faced by power supply enterprises, but also a social problem.展开更多
基金supported by China Southern Power Grid Corporation,GrantNo.GDKJXM20185800the National Natural Science Foundation of China,Grant No.62073084.
文摘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.
文摘With the rapid development of national economy, the scale of power supply system is gradually expanding, which inevitably leads to the problem of electricity theft. Stealing electricity destroys the normal order of power consumption and poses a serious threat to the safety of power grid operation and personal life and property. The burning and damage of power transformer caused by stealing electricity happen from time to time, so anti stealing electricity is not only a problem faced by power supply enterprises, but also a social problem.
