A Novel Detection Technique for Voltage Sag in Distribution Lines Using the Wavelet Transform

  • Ko, Young-Hun (Product R&D center in Daewoo Computer) ;
  • Kim, Chul-Hwan (School of information & Communication Engineering, Sungkyunkwan University) ;
  • Ahn, Sang-Pil (Korea Electrotechnology Research Institute)
  • Published : 2003.09.01

Abstract

This paper presents a discrete wavelet transform approach for determining the beginning and end times of voltage sags. Firstly, investigations in the use of some typical mother wavelets, namely Daubechies, Symlets, Coiflets and Biorthogonal are carried out and the most appropriate mother wavelet is selected. The proposed technique is based on utilizing the maximum value of Dl (at scale 1) coefficients in multiresolution analysis (MRA) based on the discrete wavelet transform. The results are compared with other methods for determining voltage sag duration, such as the Root Mean Square (RMS) voltage and Short Time Fourier Transform (STFT) methods. It is shown that the voltage sag detection technique based on the wavelet transform is a satisfactory and reliable method for detecting voltage sags in power quality disturbance analysis.

Keywords

References

  1. M.B. Hughes, J.S. Chan, 'Canadian National Power Quality Survey,' in Proc. 12th International Conference on Electricity Distribution, lEE Conference Publication No. 373, 1993
  2. R.C. Dugan, M.F. McGranaghan, HW. Beaty, Electrical Power Systems Quality, McGraw-Hill, 1996
  3. Math H. Bollen, Understanding Power Quality Problems, IEEE Press, 1999
  4. M.J. Samotyj, 'Voltage Sag in Industrial Systems,' IEEE Trans. Industry Applications, vol. 29, no. 2, pp. 397-403, March, 1993
  5. A.C. Parsons, W.M. Grady, E.J. Powers, 'A Wavelet Based Procedure for Automatically Determining the Beginning and End of Transmission System of Voltage Sags,' in IEEE PES Winter Meeting '99, vol. 2, pp. 1310-1315, 1999
  6. P.F. Ribeiro, 'Wavelet Transform: An Advanced Tool for Analyzing Non-Stationary Harmonic Distortions in Power Systems,' in Proc. of the IEEE International Conference on Harmonics in Power Systems, Bologna, pp. 365-369, September, 1994
  7. O. Poisson, P. Rioual, M. Meunier, 'New Signal Processing Tools Applied to Power Quality Analysis," IEEE Trans. Power Delivery, vol. 14, no. 2, pp. 561-566, April, 1999
  8. C.H. Kim, R.K. Aggarwal, 'Wavelet Transforms in Power Systems,' Power Engineering Journal, vol. 14, no. 2, pp. 81-87, April, 2000
  9. N.S.D. Brito, 'Daubechies Wavelets in Quality of Electrical Power,' in Proc. ICHQP '98, pp. 511-515, 1998
  10. G.T. Heydt, 'Transient Power Quality Problems Analyzed using Wavelets,' IEEE Trans. Power Delivery, vol. 12, no. 2, pp. 908-915, April, 1997
  11. S. Santos, E.J. Powers, W.M. Grady, P. Hofmann, 'Power Quality Assessment via Wavelet Transform Analysis,' IEEE Trans. Power Delivery, vol. 11, no. 2, pp. 924-930, April, 1996
  12. D.C. Robertson, I. Octavia, Camps, J.S. Mayer, W.B. Gish, 'Wavelet and Electromagnetic Power System Transients,' IEEE Trans. Power Delivery, vol. 11, no. 2, pp. 1050-1058, April, 1996
  13. S.J. Huang, C.T. Hsieh, C.L. Huang, 'Application of Morlet Wavelets to Supervise Power System Distur bance,' IEEE Trans. Power Delivery, vol. 14, no. 1, pp. 235-243, January, 1999
  14. J. Liu, P. Pillay, 'An Insight into Power Quality Disturbance using Wavelet Transform Multiresolution Analysis,' IEEE Power Engineering Review, vol. 19, no. 9, pp. 59-60, September, 1999
  15. IEEE Distribution Planning Working Group Report, 'Radial Distribution Test Feeders,' IEEE Trans. Power Systems, vol. 6, no. 3, pp. 975-985, August, 1991