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Power Quality Data Compression using Wavelet Transform  

Chung Young-Sik (인천대학교 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers A / v.54, no.12, 2005 , pp. 561-566 More about this Journal
Abstract
This paper introduces a compression technique for power qualify disturbance signal via discrete wavelet transform(DWT). The proposed approach is based on a previous estimation of the stationary component of power quality disturbance signal, so that it could be subtracted from the original signal in order to reduce a dynamic range of signal and generate transient events signal, which is subsequently applied to the compression technique. The compression techniques is performed through the difference signal decomposition, thresholding of wavelet coefficients, and signal reconstruction. It presents the relation between compression efficiency and threshold. It shouts that the wavelet transform leads to a power quality data compression approach with high compression efficiency, small compression error and good de-nosing effect.
Keywords
Power Quality; Wavelet Transform; Multi-Resolution Analysis; Data Compression;
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1 K. B. Metha, B. D. Russell, 'Data Compression for Digital Data from Power System Disturbances: Requirements and Technique Evaluation', IEEE Trans. on Power Delivery, vol. 4, no. 3, pp, 1380-1689, July 1989   DOI   ScienceOn
2 IEEE, IEEE Recommended Practices for Monitoring Electric Power Quality, IEEE Standard 1159-1995, 1995
3 L. Shang, J. jaeger, R Kerbs, 'Efficiency Analysis of Data Compression of Power System Transients using Wavelet Transform', IEEE Bologna PowerTech Conference, June 23-26, Bologna, Italy   DOI
4 C. H. Kim, R. Aggarwal, 'Wavelet Transform in Power System. I. General Introduction to the Wavelet Transform', Power Engineering Journal, pp. 81-87, April 2000   DOI
5 G. T. Heydt, A. W. Galli, 'Transient Power Quality Problems Analyzed Using Wavelet', IEEE Trans. Power Delivery, vol. 12, no. 2, April 1997   DOI   ScienceOn
6 M. V. Wickerhauser, Adapted Wavelet Analysis from Theory to Software, IEEE Press, New York, USA, pp. 237-298, 1994
7 E. Y. Hamid, Z. I. Kawasaki, 'Wavelet-based Data Compression of Power System Disturbances using the Minimum description length Criterion', IEEE Trans. Power Delivery, vol. 17, no. 2, pp. 460-466, April 2002   DOI   ScienceOn
8 T. B. Littler and D.J. Morrow, 'Wavelets for the Analysis and Compression of Power System Disturbances,' IEEE Trans. on Power Delivery, Vol. 14, pp. 358-362, April 1999   DOI   ScienceOn
9 N. S. D. Brito, B. A. Souza, F. A. C. Pires, 'Daubechies wavelets in Quality of Power', 8th International Conference on Harmonics and Quality of Power, Athens, Greece, Oct. 1998 pp.511-515   DOI
10 M. Vetteri, 'Wavelets, Approximation, and Compression,' IEEE Signal Processing Magazine, pp. 59-73, Sept. 2001   DOI   ScienceOn
11 C. H. Kim, R. Aggarwal, 'Wavelet Transform in Power System. II. Examples of Application to Actual Power System Transients', Power Engineering Journal, pp. 193-202, August 2001   DOI
12 M. V. Ribeiro, J. M. T. Romano, C. A. Duque, ' An Improved Method for Signal Processing and Compression in Power Quality Evaluation', IEEE Trans. Power Delivery, vol. 19, no. 2, pp. 464-471, April 2002   DOI   ScienceOn
13 S. Santos, E. J. Powers, and W. M. Grady, 'Power Quality Disturbance Data Compression using Wavelet Transform Methods,' IEEE Trans. on Power Delivery, Vol. 12, pp. 1250-1256, July 1997   DOI   ScienceOn