Comparison of S-transform and Wavelet Transform in Power Quality Analysis
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:55967", author = "Mohammad Javad Dehghani", title = "Comparison of S-transform and Wavelet Transform in Power Quality Analysis", 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.", volume = "3", number = "2", pages = "256-4", }