Comparative Study of Fault Identification and Classification on EHV Lines Using Discrete Wavelet Transform and Fourier Transform Based ANN
An appropriate method for fault identification and classification on extra high voltage transmission line using discrete wavelet transform is proposed in this paper. The sharp variations of the generated short circuit transient signals which are recorded at the sending end of the transmission line are adopted to identify the fault. The threshold values involve fault classification and these are done on the basis of the multiresolution analysis. A comparative study of the performance is also presented for Discrete Fourier Transform (DFT) based Artificial Neural Network (ANN) and Discrete Wavelet Transform (DWT). The results prove that the proposed method is an effective and efficient one in obtaining the accurate result within short duration of time by using Daubechies 4 and 9. Simulation of the power system is done using MATLAB.
[1] W. Zhao, Y.H. Song and Y. Min, "Wavelet analysis based scheme for
fault detection and classification in underground cable system," Electric
Power Systems Research, vol. 53, pp. 23-30, 2000.
[2] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, "A new
approach to phase selection using fault generated frequency noise and
neural networks," IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-
113, 1997.
[3] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, "A new
approach to phase selection using fault generated frequency noise and
neural networks," IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-
113, 1997.
[4] M. Oleskovicz, D.V. Coury and R.K. Aggarwal, "A complete scheme
for fault detection, classification and localization in transmission lines
using neural network," Proc. 7-th Int. Conf. Developments in Power
System Protection, Amsterdam, the Netherlands, pp. 335-338, 2001.
[5] D. Das, N.K. Singh and A.K. Singh, "A Comparison of Fourier
transform and Wavelet Transform Methods for Detection and
Classification of faults on Transmission Lines," Proc. 2006 IEEE
Power India conf., New Delhi, India, Ab. Sl. No. 237, April 2006.
[6] S. P. Bingulac, "On the compatibility of adaptive controllers (Published
Conference Proceedings style)," in Proc. 4th Annu. Allerton Conf.
Circuits and Systems Theory, New York, 1994, pp. 8-16.
[7] J.R. Partington, "On the windowed Fourier Transform and Wavelet
Transform of Almost Periodic Functions," Applied and Computational
Harmonic Analysis, vol. 10, pp. 45-60, 2001.
[8] I.K. Yu and Y.H. Song, "Development of novel adaptive single-pole
autoreclosure scheme for extra high voltage transmission systems using
wavelet transform analysis," Electric Power Systems Research, vol. 47,
pp. 11-19, 1998.
[9] Abhisek Ukil and Rastko Zivanovic, "Abrupt change detection in
power system analysis using adaptive whitening filter and wavelet
transform," Electric Power Systems Research, vol. 76, pp. 815-823,
2006.
[10] Dong Xinzhou, Genge Zhong Xing, Ge Yaozhong and Zhong Fusheng
Xu Bingyin, "Application of Wavelet Transform on Power System Fault
Analysis," Chinese Soc. of Electrical Engg, vol. 7, no. 6, pp. 421-424,
1997.
[11] J. Liang, S. Elangovan and J.B.X. Devotta, "A wavelet multiresolution
analysis approach to fault detection and classification in transmission
lines," Electrical Power and Energy Systems, vol. 20, no. 5, pp. 327-332,
1998.
[12] D. Chanda, N.K. Kishore and A.K. Sinha, "Application of wavelet
multiresolution analysis for identification and classification of faults on
transmission lines," Electric Power Systems Research, vol. 73, pp. 323-
333, 2005.
[13] Ronald R. Coifman and Mauro Maggioni, "Diffusion wavelets," Applied
and Computational Harmonic Analysis, vol. 21, pp. 3-94, 2006.
[14] Julio Barros and Ramon I. Diego, "A new method for harmonic groups
in power systems using wavelet analysis in the IEC standard
framework," Electric Power Systems Research, vol. 76, pp. 200-208,
2006.
[15] K. Gayathri and N. Kumarappan, "ANN Based Fault Detection and
Location in EHV Transmission Lines," Proc. 38-th North American
Power Symposium, Carbondale, Illinois (US), pp. 559-565, September
2006.
[16] L.Marti, "Simulationn of Transients in Underground Cables with
Frequency-Dependent Model Transformation Matrices," IEEE Trans.
Power Delivery, Vol. 3, no.3, pp 1099-1110, 1988.
[17] K. Gayathri, N. Kumarappan and S.Guruprasad, "EHV Transmission
Line Modeling Using PS-CAD Based on EMTDC Technique,"
Bangalore, pp. , December 2007.
[1] W. Zhao, Y.H. Song and Y. Min, "Wavelet analysis based scheme for
fault detection and classification in underground cable system," Electric
Power Systems Research, vol. 53, pp. 23-30, 2000.
[2] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, "A new
approach to phase selection using fault generated frequency noise and
neural networks," IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-
113, 1997.
[3] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, "A new
approach to phase selection using fault generated frequency noise and
neural networks," IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-
113, 1997.
[4] M. Oleskovicz, D.V. Coury and R.K. Aggarwal, "A complete scheme
for fault detection, classification and localization in transmission lines
using neural network," Proc. 7-th Int. Conf. Developments in Power
System Protection, Amsterdam, the Netherlands, pp. 335-338, 2001.
[5] D. Das, N.K. Singh and A.K. Singh, "A Comparison of Fourier
transform and Wavelet Transform Methods for Detection and
Classification of faults on Transmission Lines," Proc. 2006 IEEE
Power India conf., New Delhi, India, Ab. Sl. No. 237, April 2006.
[6] S. P. Bingulac, "On the compatibility of adaptive controllers (Published
Conference Proceedings style)," in Proc. 4th Annu. Allerton Conf.
Circuits and Systems Theory, New York, 1994, pp. 8-16.
[7] J.R. Partington, "On the windowed Fourier Transform and Wavelet
Transform of Almost Periodic Functions," Applied and Computational
Harmonic Analysis, vol. 10, pp. 45-60, 2001.
[8] I.K. Yu and Y.H. Song, "Development of novel adaptive single-pole
autoreclosure scheme for extra high voltage transmission systems using
wavelet transform analysis," Electric Power Systems Research, vol. 47,
pp. 11-19, 1998.
[9] Abhisek Ukil and Rastko Zivanovic, "Abrupt change detection in
power system analysis using adaptive whitening filter and wavelet
transform," Electric Power Systems Research, vol. 76, pp. 815-823,
2006.
[10] Dong Xinzhou, Genge Zhong Xing, Ge Yaozhong and Zhong Fusheng
Xu Bingyin, "Application of Wavelet Transform on Power System Fault
Analysis," Chinese Soc. of Electrical Engg, vol. 7, no. 6, pp. 421-424,
1997.
[11] J. Liang, S. Elangovan and J.B.X. Devotta, "A wavelet multiresolution
analysis approach to fault detection and classification in transmission
lines," Electrical Power and Energy Systems, vol. 20, no. 5, pp. 327-332,
1998.
[12] D. Chanda, N.K. Kishore and A.K. Sinha, "Application of wavelet
multiresolution analysis for identification and classification of faults on
transmission lines," Electric Power Systems Research, vol. 73, pp. 323-
333, 2005.
[13] Ronald R. Coifman and Mauro Maggioni, "Diffusion wavelets," Applied
and Computational Harmonic Analysis, vol. 21, pp. 3-94, 2006.
[14] Julio Barros and Ramon I. Diego, "A new method for harmonic groups
in power systems using wavelet analysis in the IEC standard
framework," Electric Power Systems Research, vol. 76, pp. 200-208,
2006.
[15] K. Gayathri and N. Kumarappan, "ANN Based Fault Detection and
Location in EHV Transmission Lines," Proc. 38-th North American
Power Symposium, Carbondale, Illinois (US), pp. 559-565, September
2006.
[16] L.Marti, "Simulationn of Transients in Underground Cables with
Frequency-Dependent Model Transformation Matrices," IEEE Trans.
Power Delivery, Vol. 3, no.3, pp 1099-1110, 1988.
[17] K. Gayathri, N. Kumarappan and S.Guruprasad, "EHV Transmission
Line Modeling Using PS-CAD Based on EMTDC Technique,"
Bangalore, pp. , December 2007.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50032", author = "K.Gayathri and N. Kumarappan", title = "Comparative Study of Fault Identification and Classification on EHV Lines Using Discrete Wavelet Transform and Fourier Transform Based ANN", abstract = "An appropriate method for fault identification and classification on extra high voltage transmission line using discrete wavelet transform is proposed in this paper. The sharp variations of the generated short circuit transient signals which are recorded at the sending end of the transmission line are adopted to identify the fault. The threshold values involve fault classification and these are done on the basis of the multiresolution analysis. A comparative study of the performance is also presented for Discrete Fourier Transform (DFT) based Artificial Neural Network (ANN) and Discrete Wavelet Transform (DWT). The results prove that the proposed method is an effective and efficient one in obtaining the accurate result within short duration of time by using Daubechies 4 and 9. Simulation of the power system is done using MATLAB.
", keywords = "EHV transmission line, Fault identification and
classification, Discrete wavelet transform, Multiresolution analysis,
Artificial neural network", volume = "2", number = "5", pages = "732-10", }
