Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Fault Detection and Classification on a Transmission Line using Wavelet Multi Resolution Analysis and Neural Network

Print
PDF
International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 47 - Number 22
Year of Publication: 2012
Authors:
Mamta Patel
R. N. Patel
10.5120/7489-0543

Mamta Patel and R N Patel. Article: Fault Detection and Classification on a Transmission Line using Wavelet Multi Resolution Analysis and Neural Network. International Journal of Computer Applications 47(22):27-33, June 2012. Full text available. BibTeX

@article{key:article,
	author = {Mamta Patel and R. N. Patel},
	title = {Article: Fault Detection and Classification on a Transmission Line using Wavelet Multi Resolution Analysis and Neural Network},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {47},
	number = {22},
	pages = {27-33},
	month = {June},
	note = {Full text available}
}

Abstract

Transmission and distribution lines are vital links between generating units and consumers. They are exposed to atmosphere, hence chances of occurrence of fault in transmission line is very high, which has to be immediately taken care of in order to minimize damage caused by it. In this paper discrete wavelet transform of voltage signals at the two ends of the transmission lines have been analyzed. Transient energies of detail information for two consecutive data windows at fault are used for analysis. Four layer feed forward back propagation neural networks are designed to classify and locate the fault at different single line to ground fault conditions.

References

  • Saha M. M. , Zykowski R. J. , Eugeniusz, 2010. Fault Location on power networks. Springer.
  • Chen W. , Malik O. P. , Yin X. , Chen D. , Zhang Z. , 2003. Study of wavelet based ultra high speed directional transmission line protection. IEEE Trans Power Delivery.
  • Chanda D. , Kishore N. K. , Sinha A. K. , 2003. A wavelet multiresolution analysis for location of faults on transmission lines. Electrical Power and Energy Systems.
  • Hosung J. , Young P. , Moonseob H. , Chanbmu L. , Hyunjune p. , Myongchul S. , "Novel technique for fault location estimation on parallel transmission lines using wavelet", Electrical Power and Energy Systems; 29:76-82, 2007.
  • Fan C. , Li K. K. , Chan W. L. , Weiyong Y, 2006. Study of protection scheme for transmission line based on wavelet transient energy. Electrical Power and Energy Systems.
  • Bhowmik P. S. ,Purkait, Bhattacharya P. K. ,2009. A novel wavelet transform aided neural network based transmission line fault analysis method. Electrical Power and Energy Systems.
  • Kim C. H. , Kim H. , Ko Y. H. , Byun S. H. , Aggrawal R. K. , Johns A. T. ,2002. A novel fault detection techique of high impedance arcing faults in transmission lines using the wavelet transform. IEEE Power Engineering Review.
  • Misiti M. Misiti Y. Wavelet toolbox user's guide. Mathworks Ltd.
  • Kale V. S. , Bhide S. R. , Bedekar P. P. , Mohan G. V. K. ,2008. Detection and classification of faults on parallel transmission lines using wavelet transform and neural network.
  • Solanki M. , Song Y. H. ,2003. Transient protection of EHV transmission line using discrete wavelet analysis, Power Engineering Society General Meating, IEEE.
  • Gafoor S. A. , Ramana Rao P. V. ,2006. Wavelet based fault detection, classification and location in transmission line. , Power and Energy Conference, PECon '06, IEEE International.
  • Valsan S. P. , Swarup K. S. ,2009. Wavelet transform based digital protection for transmission line. Electrical Power and Energy Systems.
  • Nan Z, Kezunovic M. ,2007. "Transmission line boundry protection using wavelet transform and neural network, IEEE Transaction on Power Delivery.
  • Zhang D. J. , Wu Q. H. , Bo Z. Q. , Caunce B. ,2003. Transient positional protection of transmission lines using complex wavelet analysis. IEEE Transaction on Power Delivery.
  • Ghosh S. , 2008. Signals and Systems. Pearson Education.
  • Abur A. , Magnago F. H. , 2000. Use of time delays between model components in wavelet based fault location. Electrical Power and Energy Systems.
  • Chiradeja, Pathomthat, Pothisarn, Chaichan, 2009. Discrete wavelet transform and Fuzzy Logic algorithm for identification of faultntypes on transmission line. Advances in Power System Control, Operation and Management(APSCOM 2009).
  • Jain A. , Thoke A. S. , Patel R. N. , 2008. Fault classification of double circuit transmission line using artificial neural network. International Journal of Electrical Systems Science and Engineering 2008.
  • Liang F. , Jeyasurya B. ,2004. Transmission line distance protection using wavelet transform algorithm, IEEE Trans power Delivery 2004.
  • Megahed A. I. , Moussa A. M. , Bayoumy A. E. , 2009. Usage of wavelet transform in the protection of wavelet transform in the protection of series compensated transmission lines, IEEE Transaction on Power Delivery 2009.
  • Osman A. H. , Malik O. P. , 2004. Transmission line distance protection based on wavelet transform, IEEE Trans. power Delivery 2004.
  • Phadke A. G. , Thorp J. S. , 1988. Computer relaying for power systems. Wiley and Sons, 1988.
  • Reddy M. J. , Mohanta D. K. ,2007. A wavelet- fuzzy combined approach for classification and location of transmission line faults, Electrical Power and Energy Systems; 2007.
  • Youssef O. A. S. , 2004. Combined fuzzy logic wavelet-based fault classification technique for power system relaying, IEEE Transaction on Power Delivery; 2004.
  • Xia M. C. , Zhuang Y. , Huang, 2010. Wavelet analysis in transient based protection for power system high voltage transmission line. Proceedings of the 2010 International Conference on Wavelet Analysis and Pattern Recognition, Quingdao.
  • Mahmood F, Prof. Qureshi S. A. , Prof. Kamran M. , 2008. Application of wavelet multi-resolution analysis & perceptron neural networks for classification of transients on transmission line, 2008 Australian University Power Engineering Conference (AUPEC'08).
  • Mingchao X. , Yihuang H. , 2008. Transient based protection using current transient", 2nd IEEE International Conference on Power and Energy (PECon 08) 2008, Johor Baharu, Malasia.
  • Jaipradidtham C. , Pasomkusolsil S. , 2008. Harmonic analysis of Electromagnetic Transients in 500kv single circuit transmission system using Discrete wavelet transform, Power System Technology and IEEE Power India Conference 2008 (POWERCON 2008).
  • Kale V. S. , Bhide S. R. , Bedekar P. P. , 2009. Faulted phase selection on double circuit transmission line using wavelet transform and neural network, Third International Conference on Power System, Kharagpur, India.
  • Hatem A. Darwish, Abdel Maksoud I. Taalab, A. H. Osman, Neema M. Mansour and O. P. Malik, "Spectral Energy Differential Approach for Transmission Line Protection", Power system conference and exposition 2006 (PSCE 06) page 1931-1937.
  • Costa F. B. , Silva K. M. , Souza B. A. , Dantas K. M. C. and Brito N. S. D. 2006. A method for fault classification in Transmission Lines based on ANN and wavelet Coefficient Energy, International Joint Conference on Neural Networks vancouver, BC, Canada, , 2006.
  • Othman M. F. and Amari H. A. , 2008. Online fault detection for power system using wavelet and PNN, 2nd IEEE International Conference on Power and Energy (PECon 08), Johor Baharu, Malasia.
  • Patel M& Patel R. N. , 2011. Transient energy and its impact on Transmission line faults, World Acadamy of Science and Technology.
  • Mingchao X. , Yizhuang H. , 2004. A novel unit transient based protection criterion for high- voltage power transmission line, IEEE Conference Publication (TENCON 2004).
  • Abdollahi A. , Seyedtabali S. , 2010. Transmission line fault location estimation by Fourier & Wavelet Transforms using ANN", The 4th International Power Engineering and Optimization Conf. (PEOCO2010), Shah Alam, Selanger, Malasia.