{"title":"Comparative Study of Fault Identification and Classification on EHV Lines Using Discrete Wavelet Transform and Fourier Transform Based ANN","authors":"K.Gayathri, N. Kumarappan","volume":17,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":846,"pagesEnd":856,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/885","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.<\/p>\r\n","references":"[1] W. Zhao, Y.H. Song and Y. Min, \"Wavelet analysis based scheme for\r\nfault detection and classification in underground cable system,\" Electric\r\nPower Systems Research, vol. 53, pp. 23-30, 2000.\r\n[2] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, \"A new\r\napproach to phase selection using fault generated frequency noise and\r\nneural networks,\" IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-\r\n113, 1997.\r\n[3] Z.Q. Bo, R.K. Aggarwal A.T. Johns, H.Y. Li and Y.H. Song, \"A new\r\napproach to phase selection using fault generated frequency noise and\r\nneural networks,\" IEEE Trans. Power Delivery, Vol. 12, no.1, pp 106-\r\n113, 1997.\r\n[4] M. Oleskovicz, D.V. Coury and R.K. Aggarwal, \"A complete scheme\r\nfor fault detection, classification and localization in transmission lines\r\nusing neural network,\" Proc. 7-th Int. Conf. Developments in Power\r\nSystem Protection, Amsterdam, the Netherlands, pp. 335-338, 2001.\r\n[5] D. Das, N.K. Singh and A.K. Singh, \"A Comparison of Fourier\r\ntransform and Wavelet Transform Methods for Detection and\r\nClassification of faults on Transmission Lines,\" Proc. 2006 IEEE\r\nPower India conf., New Delhi, India, Ab. Sl. No. 237, April 2006.\r\n[6] S. P. Bingulac, \"On the compatibility of adaptive controllers (Published\r\nConference Proceedings style),\" in Proc. 4th Annu. Allerton Conf.\r\nCircuits and Systems Theory, New York, 1994, pp. 8-16.\r\n[7] J.R. Partington, \"On the windowed Fourier Transform and Wavelet\r\nTransform of Almost Periodic Functions,\" Applied and Computational\r\nHarmonic Analysis, vol. 10, pp. 45-60, 2001.\r\n[8] I.K. Yu and Y.H. Song, \"Development of novel adaptive single-pole\r\nautoreclosure scheme for extra high voltage transmission systems using\r\nwavelet transform analysis,\" Electric Power Systems Research, vol. 47,\r\npp. 11-19, 1998.\r\n[9] Abhisek Ukil and Rastko Zivanovic, \"Abrupt change detection in\r\npower system analysis using adaptive whitening filter and wavelet\r\ntransform,\" Electric Power Systems Research, vol. 76, pp. 815-823,\r\n2006.\r\n[10] Dong Xinzhou, Genge Zhong Xing, Ge Yaozhong and Zhong Fusheng\r\nXu Bingyin, \"Application of Wavelet Transform on Power System Fault\r\nAnalysis,\" Chinese Soc. of Electrical Engg, vol. 7, no. 6, pp. 421-424,\r\n1997.\r\n[11] J. Liang, S. Elangovan and J.B.X. Devotta, \"A wavelet multiresolution\r\nanalysis approach to fault detection and classification in transmission\r\nlines,\" Electrical Power and Energy Systems, vol. 20, no. 5, pp. 327-332,\r\n1998.\r\n[12] D. Chanda, N.K. Kishore and A.K. Sinha, \"Application of wavelet\r\nmultiresolution analysis for identification and classification of faults on\r\ntransmission lines,\" Electric Power Systems Research, vol. 73, pp. 323-\r\n333, 2005.\r\n[13] Ronald R. Coifman and Mauro Maggioni, \"Diffusion wavelets,\" Applied\r\nand Computational Harmonic Analysis, vol. 21, pp. 3-94, 2006.\r\n[14] Julio Barros and Ramon I. Diego, \"A new method for harmonic groups\r\nin power systems using wavelet analysis in the IEC standard\r\nframework,\" Electric Power Systems Research, vol. 76, pp. 200-208,\r\n2006.\r\n[15] K. Gayathri and N. Kumarappan, \"ANN Based Fault Detection and\r\nLocation in EHV Transmission Lines,\" Proc. 38-th North American\r\nPower Symposium, Carbondale, Illinois (US), pp. 559-565, September\r\n2006.\r\n[16] L.Marti, \"Simulationn of Transients in Underground Cables with\r\nFrequency-Dependent Model Transformation Matrices,\" IEEE Trans.\r\nPower Delivery, Vol. 3, no.3, pp 1099-1110, 1988.\r\n[17] K. Gayathri, N. Kumarappan and S.Guruprasad, \"EHV Transmission\r\nLine Modeling Using PS-CAD Based on EMTDC Technique,\"\r\nBangalore, pp. , December 2007.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 17, 2008"}