Power Quality Signal De-noising with Sub band Adaptive Algorithm
Abstract: A new
level-dependent sub band adaptive noise reduction algorithm based on wavelet
transform is proposed in order to improve the effect of power quality signal
de-noising for power quality monitoring system. This threshold algorithm has
two adjustable parameters to adjust the threshold both fine and coarsely, and
the optimal parameters are determined by BP neural networks algorithm. Power
disturbance data is referred to actual power disturbance data at IEEE open
source and applied for test. The test results indicate that the proposed
algorithm could denoise the different kind of power disturbances effectively,
and the signal noise ratio is improved further with a smaller mean square
error.
Keywords: power disturbances,
wavelet transformation, threshold value de-noising, sub-band adaptive algorithm
Author: Yingjun Sang, Yuanyuan
Fan
Journal Code: jptkomputergg130057
