Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems

YongJune Shin; Edward J. Powers; William Mack Grady; S. C. Bhatt

doi:10.1117/12.366845

26 October 1999 Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems

YongJune Shin, Edward J. Powers, William Mack Grady, S. C. Bhatt

Author Affiliations +

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366845
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Wavelet analysis of voltage sag completely depends on the choice of the wavelet basis. For better detection performance via wavelet analysis, the choice of the optimal wavelet basis must be provided within the constraints of the uncertainty principle which restricts arbitrary assignment of time-frequency resolution. In this paper, we describe local properties of the wavelet basis and voltage sag signal in terms of time duration and frequency bandwidth parameters. After comparison of the local properties of the wavelet basis and voltage sag signal, we suggest a set of performance indexes to measure the time-frequency resolution relation between the wavelet basis and the voltage sag signal. This procedure of determining the optimal wavelet basis can be extended to other possible applications of wavelets.

Citation Download Citation

YongJune Shin, Edward J. Powers, William Mack Grady, and S. C. Bhatt "Optimal Daubechies' wavelet bases for detection of voltage sags in electric power distribution and transmission systems", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366845

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