Abstract
In this paper four fault location algorithms based on discrete wavelet transform using global positioning system are described and compared. In two approaches, the location of fault is determined according to arrival instances of traveling waves and in two other approaches, the non-linear relations are simulated by artificial neural network to improve the responses. All the possible fault types are generated using the ATP–EMTP and results using the four methods are discussed. Extensive simulation studies indicate that proposed networks decrease errors percentages of two wavelet-based approaches from 0.35 to 0.22 and 0.21 to less than 0.15 %, respectively, though exploiting small size data base for training.
Similar content being viewed by others
References
Mora-Florez, J., Melendez, J., & Caicedo, G. C. (2008). Comparison of impedance based fault location methods for power distribution systems. Journal of Electric Power Systems Research, 78(4), 657–666.
Sachdev, M. S., & Agarwal, R. (1988). A technique for estimating transmission line fault locations from digital impedance relay measurements. IEEE Transactions on Power Delivery, 3(1), 121–129.
Izykowski, J., Rosolowski, E., & Saha, M. M. (2007). Postfault analysis of operation of distance protective relays of power transmission lines. IEEE Transactions on Power Delivery, 22(1), 74–81.
Srinivasan, K., & St.-Jacques, A. (1989). A new fault location algorithm for radial transmission lines with loads. IEEE Transactions on Power Delivery, 4(3), 1676–1682.
Girgis, A. A., Hart, D. G., & Peterson, W. L. (1992). A new fault location technique for two-and three-terminal lines. IEEE Transactions on Power Delivery, 7(1), 98–107.
El-Hami, M., Lai, L. L., Daruvala, D. J., & Johns, A. T. (1992). A new traveling-wave based scheme for fault detection on overhead power distribution feeders. IEEE Transactions on Power Delivery, 7(4), 1825–1833.
Christopoulos, C., Thomas, D. W. P., & Wright, A. (1988). Scheme based on traveling waves for the protection of major transmission lines. IEEE Proceedings C (Generation, Transmission and Distribution), 135(1), 63–73.
Jie, L., Elangovan, S., & Devotta, X. (1999). Adaptive traveling wave protection algorithm using two correlation functions. IEEE Transactions on Power Delivery, 14(1), 126–131.
Shehab-Eldin, E. H., & Mclaren, P. G. (1988). Traveling wave distance protection: problem areas and solutions. IEEE Transactions on Power Delivery, 3(3), 894–902.
Spoor, D., & Zhu, J. G. (2006). Improved single-ended traveling-wave fault-location algorithm based on experience with conventional substation transducers. IEEE Transactions on Power Delivery, 21(3), 1714–1720.
Xu, H. H., Hui, Z. B., & Lai, L. Z. (2003). A novel principle of single-ended fault location technique for EHV transmission lines. IEEE Transactions on Power Delivery, 18(4), 1147–1151.
Kezunovic, M., & Perunieic, B. (1996). Automated transmission line fault analysis using synchronized sampling at two ends. IEEE Transactions on Power Delivery, 11(1), 441–447.
Mosavi, M. R. (2011). Error reduction for GPS accurate timing in power systems using kalman filters and neural networks. Journal of Electrical Review, 87(12a), 161–168.
Mosavi, M. R., Nabavi, H., & Nakhaei, A. (2013). Neural technologies for precise timing in electric power systems with a single-frequency GPS receiver. Journal of Wireless Personal Communications,. doi:10.1007/s11277-013-1398-z.
Mosavi, M. R. (2011). Wavelet neural network for corrections prediction in single-frequency GPS users. Neural Processing Letters, 33(2), 137–150.
Jafarian, P., & Sanaye-Pasand, M. (2010). A traveling-wave-based protection technique using wavelet/PCA analysis. IEEE Transactions on Power Delivery, 25(2), 588–599.
Borghetti, A., Bosetti, M., Nucci, C. A., Paolone, M., & Abur, A. (2010). Integrated use of time–frequency wavelet decompositions for fault location in distribution networks: Theory and experimental validation. IEEE Transactions on Power Delivery, 25(4), 3139–3146.
Tabatabaei, A., Mosavi, M. R., & Rahmati, A. (2012). Fault location techniques in power system based on traveling wave using wavelet analysis and GPS timing. Journal of Electrical Review, 88(6), 347–350.
Tawfik, M., & Morcos, M. (2001). ANN-based techniques for estimating fault location on transmission lines using Prony method. IEEE Transactions on Power Delivery, 16(2), 219–224.
Mazon, A. J., Zamora, I., Gracia, J., Sagastabeutia, K. J., & Saenz, J. R. (2001). Selecting ANN structures to find transmission faults. IEEE Transactions on Computer Applications in Power, 14(3), 44–48.
Gracia, J., Mazón, A. J., & Zamora, I. (2005). Best ANN structures for fault location in single and double-circuit transmission lines. IEEE Transactions on Power Delivery, 20(4), 2389–2395.
Mirzaei, M., Ab Kadir, M. Z. A., Moazami, E., & Hizam, H. (2009). Review of fault location methods for distribution power system. Australian Journal of Basic and Applied Sciences, 3(3), 2670–2676.
Thammart, C., Nawikavatan, A., Niyomsat, T. & Bunjongjit, S. (2009) ANN-based technique for fault-location on transmission lines with ATP/EMTP program. In: IEEE international conference on advances in power system control, operation and management, pp. 1–6.
Jain, A., Thoke, A. S., & Patel, R. N. (2009) Double circuit transmission line fault distance location using artificial neural network. In: IEEE world congress on nature & biologically inspired computing, pp. 13–18.
Tabatabaei, A., Mosavi, M. R. & Farajiparvar, P. (2012). A traveling-wave fault location technique for three-terminal lines based on wavelet analysis and recurrent neural network using GPS timing. In: Conference on smart electrical grids technology (SEGT2012), Iran University of Science and Technology, pp. 154–158.
Mosavi, M. R., & Tabatabaei, A. (2014). Wavelet and neural network based fault location in power systems using statistical analysis of traveling wave. The Arabian Journal for Science and Engineering, 39(8), 6207–6214.
Prikler, L., & Holdalen, H. K. (1998) ATP draw for windows 3.1/95/NT Version 1.0 User’s Manual Release 1.0.1.
Addison, P. S. (2002). The illustrated wavelet transform handbook: Introductory theory and applications in science, engineering, medicine and finance. London: Institute of Physics Publishing.
Brito, N. S. D., Souza, B. A., & Pires, F. A. C. (1998). Daubechies wavelets in quality of electrical power. IEEE Conference on Harmonics and Quality of Power, 1, 511–515.
Mosavi, M. R. (2006). A practical approach for accurate positioning with L1 GPS receivers using neural networks. Journal of Intelligent & Fuzzy Systems, 17(2), 159–171.
Mosavi, M. R. (2007). GPS receivers timing data processing using neural networks: Optimal estimation and errors modeling. Journal of Neural Systems, 17(5), 383–393.
Ku, C. C., & Lee, K. Y. (1992). Nonlinear system identification using diagonal recurrent neural networks. IEEE Conference on Neural Networks, 3, 839–844.
Acknowledgments
The authors would like to thank Iran Distribution Management Company, for their valuable support during the authors’ research work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mosavi, MR., Tabatabaei, A. Traveling-Wave Fault Location Techniques in Power System Based on Wavelet Analysis and Neural Network Using GPS Timing. Wireless Pers Commun 86, 835–850 (2016). https://doi.org/10.1007/s11277-015-2958-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-015-2958-1