SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals

Anand Deshmukh*, Shekhappa G. Ankaliki **
* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.
** Professor and PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.
Periodicity:April - June'2015
DOI : https://doi.org/10.26634/jee.8.4.3377

Abstract

Power quality analysis is a classical problem in Electrical Engineering, since the electrical signal contains transients' disturbances, that can be caused for diverse reasons: Switching of electrical motors, capacitor banks, etc. For improving the power quality knowledge, it is necessary to analyze efficiently the different disturbances. The objective is to identify the transients in real time, to be corrected immediately. One of the most important issues in power quality problems is, how to detect and classify disturbance waveforms automatically in an efficient manner. Automatic disturbance recognition can be carried out with the help of a wavelet transform. The approach proposed in this paper is robust in detecting and localizing a wide range of power disturbances such as fast voltage fluctuations, short and long duration voltage variations, transients, noise and harmonic distortion.

Keywords

Wavelet-Transform, Disturbances, Power quality, Fourier-Transform

How to Cite this Article?

Deshmukh, A., and Ankaliki, S. G. (2015). SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals. i-manager’s Journal on Electrical Engineering, 8(4), 19-25. https://doi.org/10.26634/jee.8.4.3377

References

[1]. M. H. Bollen, (2001). “Understanding Power Quality Problems”, IEEE Press.
[2]. G. T. Hedyt, (1998). “Electrical Power Quality: a tutorial introduction,” IEEE Computer Applications in Power, Vol. 11, pp 15-19.
[3]. J. Arrillaga, N.R. Watson, and S. Chen, (2000). “Power System Quality Assessment”, John Wiley and Sons Ltd.
[4]. IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std.1159, 1995.
[5]. IEEE Guide for Service to Equipment Sensitive to Momentary Voltage Disturbances.
[6] McGranaghan, M.F. (2001). “Trends in Power Quality Monitoring”, IEEE Power Eng. Rev. J., Vol. 21,No. 10, pp. 3–9.
[7]. O. Poisson, P. Rioual, and M. Meunier, (2000). “Detection and Measurement of Power Quality Disturbances Using Wavelet Transform,” IEEE Trans. Power Del., Vol. 15, No. 3, pp. 1039–1044.
[8]. P. K. Dash, B. K. Panigrahi, and G. Panda, (2003). “Power Quality Analysis Using S-transform,” IEEE Trans. Power Del., Vol. 18, No. 2, pp. 406–411.
[9]. S. Shukla, S. Mishra, and B. Singh, (2009). “Empiricalmode decomposition with Hilbert transform for powerquality assessment,” IEEE Trans. Power Del., Vol. 24, No. 4, pp. 2159–2165.
[10]. G. Y. Li, Y. Luo, M. Zhou, and Y.-B. Wang, (2006). “Power Quality Disturbance Detection and Location based on Mathematical Morphology and grille fractal,” Proc. CSEE, Vol. 26, No. 3, pp. 25–30.
[11]. Axelberg, P.G.V., Irene, Y.H.G., Bollen, M.H.J.: (2007). “Support Vector Machine for Classification of Voltage Disturbances”, IEEE Trans.Power Deliv., Vol. 22, No. 3, pp. 1297–1303.
[12]. Stayvaktakis, E., Bollen, M.H.J.,Gu, I.Y. (2002). “Expert System for Classification and Analysis of Power System Events”, IEEE Trans. Power Deliv., Vol. 17, No. 2, pp. 423–428.
[13]. Gerek, O¨.N., Ece, D.G., Barkana, A.: (2006). “Covariance Analysis of Voltage Waveform Signature for Power Quality Event Classification”, IEEE Trans. Power Deliv., Vol. 21, No. 4, pp. 2022–2031.
[14]. Stayvaktakis, E., Bollen, M.H.J., Gu, I.Y.: (2002). “Automatic Classification of Power System Events Using RMS Voltage Measurements”, Power Eng. Soc. Summer Meeting, Vol. 2, pp. 824–829.
[15]. Santoso, S., Grady, W.M., Powers, E.J., Lamoree, J., Bhatt, S.C.: (2000). “A Scalable PQ Event Identification System”, IEEE Trans. Power Deliv., Vol. 15, No. 2, pp. 738–743.
[16]. Panigrahi, B.K., Pandi, V.R.: (2009). “Optimal Feature Selection for Classification of Power Quality Disturbances Using Wavelet Packet-Based Fuzzy K-Nearest Neighbour Algorithm”, IET Gener. Transm. Distrib., Vol. 3, No. 3, pp. 296–306.
[17]. Eris, ti, H., Uc, ar, A., Demir, Y.: (2010), “Wavelet- Based Feature Extraction and Selection For Classification of Power System Disturbances Using Support Vector Machines”, Electr. Power Syst. Res., Vol. 80, No. 7, pp. 743–752.
[18]. Olivier Rioul and Pierre Duhamel, (1992). “Fast Algorithms for Discrete and Continuous Wavelet Transforms,” IEEE Trans. Information Theory, Vol.38, No.2, pp.569-586.
[19]. IEEE recommended practice for monitoring electric power quality, IEEE std. 1159-2009 (revision of IEEE std. 1159-1995).
[20]. S. Vanga and S.N.V. Ganesh (2012), “Comparison of Fourier Transform and Wavelet Packet Transform for Quantification of Power Quality ”,International Conference on Advances in Power Conversion and Energy Technologies, pp. 1-6.
[21]. M. V. Chillukuri, P. K. Dash, and K. P. Basu, (2004). “Time-Frequency Based Pattern Recognition Technique for Detection and Classification of Power Quality Disturbances,” TENCON 2004, IEEE Region 10 Conf. 2004, Vol. 3, pp. 260-263.
[22]. W. Kanitpanyacharoean and S. Premrudee preechacharn, (2004), “Power Quality Problem Classification Using Wavelet Transformation and Artificial Neural Networks”, Power Systems Conference and Exposition, pp. 1496-1501.
[23]. I. Y. H. Gu, and E. Styvaktakis, (2003). “Bridge the Gap: Signal Processing for Power Quality Applications”, Elsevier Electric Power System Research, Vol. 66, pp. 83- 96.
[24]. A. M. Gaouda, M. M. A. Salama, M. R. Sultan, and A.Y. Chikhani, (2000). “Power Quality Detection and Classification Using Wavelet- Multiresolution Signal Processing,” IEEE Trans.Power Delivery, Vol.15,No.2, pp. 478-485.
[25]. Surya Santoso, W. Mack Grady, Edward J. Powers, Jeff Lamoree and Siddharth C. Bhatt, (2000). “Characterization of Distribution Power Quality Events with Fourier and Wavelet Transforms”, IEEE Transactions on Power Delivery, Vol. 15, No. 1, pp. 247-253.
[26]. Rob polikar, “The Engineer's Ultimate Guide Book to Wavelet Analysis”.
[27]. M. A. S. Masoum, S. Jamali and N. Ghaffarzadeh, (2010). “Detection and Classification of Power Quality Disturbances Using Discrete Wavelet Transform and Wavelet Networks”, IET Science, Measurement Technology, Vol. 4, pp. 193-205.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.