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Power Quality Signal De-noising with Subband Adaptive Algorithm

Author(s): Yingjun Sang

ISSN 1693-6930

Volume: 11;
Issue: 2;
Start page: 347;
Date: 2013;
Original page

Keywords: Power disturbances | Wavelet transformation | Threshold value de-noising | Subband adaptive algorithm

A new level-dependent subband 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 refered 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.
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