Title :
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
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;
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
DOI :
10.1109/PESW.2002.985188