Power quality monitoring based on wavelet transformation
FAN Yuan-yuan
SANG Ying-jun
HU Guang
ZHOU Zai-jin
HAO Yun-rong
Abstract：Aiming at the feature that the amplitude of noise coefficient reduces with increasing the scope,an improved sub-band adaptive denoising algorithm based on the wavelet decomposition layers was proposed. The system model for voltage sag was established with the Matlab simulation software.The time frequency analysis and denoising treatment of voltage sag signals contaminated by white noise were performed with the wavelet analysis method,and the soft and hard threshold denoising methods were analyzed.The experimental results show that the superior threshold estimation of wavelet coefficients can be obtained through adjusting two adjustable parameters.Compared with three common typical algorithms,the proposed method can not only eliminate the noise interference better,but also have higher signal to noise ratio (SNR),smaller mean square error (MSE)and more excellent information keeping ability.
Keywords：voltage sagwavelet transformthreshold denoisingsubband adaptionwavelet coefficientsignal to noise ratio (SNR)mean square error (MSE)
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 681-687 )