Disturbance Detection Method of Power Quality Based on Mathematical Morphology and Lifting Wavelet

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Abstract:

Considering in the progress of the power quality detection for disturbance signal, detected signals are often has the problem of random noise and impulse noise, in this paper, by using traditional wavelet de-noising, put forward a detection method of disturbance signal based on mathematical morphology and lifting wavelet, discussed its detection principle and implementation methods. Simulation results show that the method de-noising effect is obvious, can effectively improve the accuracy of the disturbance signal judgment.

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1205-1208

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] CUI Xue, LIU Hui-jin, ZHANG Quan-ming, et al. Detection and Location of Transient Power Quality Disturbances Based on Morphology-complex Wavelet[J]. High Voltage Engineering, 34(5): 989-994.

DOI: 10.1109/iciea.2008.4582920

Google Scholar

[2] LI Geng-yin, LUO Yan, ZHOU Ming, et al. Power Quality Disturbance Detection and Location Based on Mathematical Morphology and Grille Fractal[J]. Proceeding of the CSEE, 2006, 26( 3): 25- 30.

Google Scholar

[3] WANG Li-xia, HE Zheng-you, ZHAO Jing, et al. Wavelet Transform and Mathematical Morphology's Application in Power Disturbance Signal Denosing[J]. Power System Protection and Control, 2008, 36(24):30-35.

Google Scholar

[4] XU Tong-yu, PIAO Zai-lin, CHEN Chun-ling. Application of Lifting Wavelet in Transient Power Quality Disturbance Detection and Location[J]. Transactions of the CSAE, 2011, 27(5),282-286.

Google Scholar

[5] HOU Hui-ling, WANG Ming-quan. An Wavelet Threshold Denoising Method Based on Morphology[J]. Microcomputer Information, 2007, 23(4-3): 163-165.

Google Scholar