Comparison of S-transform and Wavelet Transform in Power Quality Analysis
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Comparison of S-transform and Wavelet Transform in Power Quality Analysis

Authors: Mohammad Javad Dehghani

Abstract:

In the power quality analysis non-stationary nature of voltage distortions require some precise and powerful analytical techniques. The time-frequency representation (TFR) provides a powerful method for identification of the non-stationary of the signals. This paper investigates a comparative study on two techniques for analysis and visualization of voltage distortions with time-varying amplitudes. The techniques include the Discrete Wavelet Transform (DWT), and the S-Transform. Several power quality problems are analyzed using both the discrete wavelet transform and S–transform, showing clearly the advantage of the S– transform in detecting, localizing, and classifying the power quality problems.

Keywords: Power quality, S-Transform, Short Time FourierTransform , Wavelet Transform, instantaneous sag, swell.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1332792

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[1] J. Driesen & R. Belmans, "Wavelet-based power quantification approaches", IEEE Trans. Instrum. Measurement. Vol. 52, pp. 1232- 1238, 2003.
[2] O. Poisson, P. Rioual and M. Meunier, "New signal processing tools applied to power quality analysis", IEEE Trans. Power Delivery, vol. 14, no.2, pp. 561-566, 1999.
[3] M. I Marei, E.F El-Saadany, M.M.A. Salama, "Estimation techniques for tracking voltage flicker envelopes" Electric Power System Research Journal, Vol. 70, No.1, pp 30-37, 2004.
[4] J. Jatskevich, O. Wasynczuk and L. Canard, "A method of evaluating flicker and flicker reduction strategies in power systems", IEEE Trans. Power Delivery, Vol. 13, no. 4, pp. 1481-1487, 1998.
[5] S. Caldara, S. Nuccio and C. Spataro, "A virtual instrument for measurement of flicker", IEEE Trans. Instrument Measurement, Vol. 47 , no. 5, pp. 1155-1158, 1998.
[6] Zhou Wenhui and et al.," Wavelet transform based new methods for voltage flicker signal and harmonic detection", The Fifth International Conference on Power Electronics and Drive Systems, Vol. 1, no. 17-20, pp. 805-810, 2003.
[7] R. G. Stockwell, L. Mansinha, and R. P. Lowe, "Localization of the complex spectrum: The S- transform," IEEE Trans. Signal Processing, vol. 44, pp. 998-1001, Apr. 1996.
[8] Stockwell R. G., Mansinha L., Lowe R. P., Eramian M. and Schincariol R.A., "Local S Spectrum analysis of 1-D and 2-D data", Physics of the Earth and Planetary Interiors, 103, pp.329-336, 1997.
[9] Stockwell R. G., Mansinha L. and Lowe R. P., "Pattern analysis with two-dimensional spectral localization: applications of 2 dimensional STransforms", Physica A, 239, pp.286-295, 1997.
[10] M. J. Dehghani and K. M.M Prabhu, "Voltage Flicker Detection Using Wavelet multi-resolution Signal Analysis", International conference on Power System Analysis, control and optimization,(PSACO-2008), India , 13-15 March 2008.