Discrete wavelet transform applied to data compression of waveforms with harmonics and voltage flicker

Author

Wu, Chi-Jui ; Fu, Tsu-Hsun ; Wu, Chaung-Wei

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

Volume

2

fYear

2002

fDate

2002

Firstpage

1141

Abstract

The discrete wavelet transform is used to enhance data storage capability of power quality measurement instruments in monitoring waveforms with harmonics and voltage flicker. The compression approaches with multi-resolution analysis and reference waveform are compared. The results from spectrum analysis show high compression ratios while keeping low data distortion. The error levels between original and reconstructed waveforms are discussed. Field measured waveforms with harmonics and voltage flicker from arc furnace loads are used to show the goodness of the data compression techniques. While the multi-resolution analysis approach is suitable for voltage flicker, the reference waveform method is better for harmonics.

Keywords

arc furnaces; data compression; discrete wavelet transforms; load (electric); power supply quality; power system harmonics; power system measurement; spectral analysis; arc furnace loads; data storage capability enhancement; discrete wavelet transform; error levels; field measured waveforms; high compression ratios; low data distortion; multi-resolution analysis; original waveforms; power quality measurement instruments; reconstructed waveforms; reference waveform method; spectrum analysis; voltage flicker; voltage flicker harmonics; waveforms monitoring; Data compression; Discrete wavelet transforms; Distortion measurement; Instruments; Memory; Monitoring; Power measurement; Power quality; Power system harmonics; Voltage fluctuations;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Winter Meeting, 2002. IEEE

Print_ISBN

0-7803-7322-7

Type

conf

DOI

10.1109/PESW.2002.985188

Filename

985188