Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)

Prabhavathi. D*, Surya Kalavathi M**, Prakasam K***
*-*** Research Scholar, Department of Electrical and Electronics Engineering, JNTUA, India.
** Professor, Department of Electrical and Electronics Engineering, JNTUCEH, JNTUH India.


This paper presents detection and location of fault in underground cables by wavelet transform as it is one of the most efficient tools for analyzing non stationary signals and it has been widely used in electrical power systems. Estimation and determination of fault in an underground cable is very important in order to clear the fault quickly and to restore the supply with minimum interruption [3, 8].The high voltage power cable 500MVA, 11kV, 200 km is modeled in MAT LAB simulink platform. Mexican Hat and coif let wavelet transforms is used to extract the signals and the waveforms are shown. The simulation results shows that wavelet method is efficient and powerful to estimate the faults when they occurs in the underground cables.


Cable, Fault, Travelling, Mexican Hat, Coif Let

How to Cite this Article?

Prabhavathi, D., Kalavathi, M. S., and Prakasam, K. (2016). Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT). i-manager’s Journal on Power Systems Engineering, 3(4), 35-44.


[1]. E.S.T.E. Din, M. Gilany, M.M. Abdel Aziz and D.K. Ibrahim, (2005). "A wavelet-based fault location technique for aged power cables”. Power Engineering Society General Meeting, IEEE, Vol.3, pp.12-16.
[2]. K. Prasanna Kumar, K. Durga Syam Prasad, and K. Sravanthi (2014). “Wavelet-Based Fault Location and Distance Protection Method for Transmission Lines”. Int. Journal of Engineering Research and applications., ISSN: 2248-9622, Vol.4, No.7 (Version 4), pp.05-1.
[3]. Hassan Pourvali. Souraki, (2009). “A New Approach to Series Fault Location in Underground Distribution System Using Combined Neural Networks & Wavelet Analysis”. International Conference on Electric Power and Energy Conversion Systems (EPECS), American University of Sharjah.
[4]. El Sayed Tag El Din, Mohamed Mamdouh Abdel Aziz, Doaa khalil Ibrahim and Mahmoud Gilany, (2006). “Fault location scheme for combined overhead line with underground power cable”. Electric Power Systems Research.
[5]. Xin Zhentao, Lei Wang, Jiang Hongyan, Chai Baodong and Jun Yang, (2010). “Smart re-close Scheme of combined overhead line with underground power cable”. Power System Technology (POWERCON).
[6]. C. Apisit, C. Positharn, and A. Ngaopitakkul, (2012). "Discrete wavelet transform and probabilistic neural network algorithm for fault location in underground cable". Fuzzy Theory and it's Applications (iFUZZY), International Conference, pp.154, 157, 16-18.
[7]. C. Apisit, C. Pothisarn, and A. Ngaopitakkul, (2012). "An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Fault Locations in Underground Cable". Innovations in Bio-Inspired Computing and Applications IBICA), Third International Conference, pp.89-92.
[8]. Chul-Hwan Kim, Young-Bum Lim, Woo-Gon Chung, Tae-Won Kwon, Jong-Young Hwang, Il-Dong Kim, (1995). “A study on the fault identification of underground cable using neural Network”. Energy Management and Power Delivery, 1995. Proceedings of EMP '95. International Conferences.
[9]. C. M. Wiggins, D.E. Thomas, T.M. Salas, F.S. Nickel, and H.W. Ng, (1994). “On-line fault location system for 66kv underground cables with fast O/E and A/D technique”. IEEE Trans. Power Delivery, Vol.9, pp.579-584.
[10]. Ping. Chen and Kuixin Wang, (2011). "Fault location technology for high-voltage overhead lines With under ground power cables based on travelling wave principle". Advanced Power System automation and Protection (APAP), International Conference, Vol.1, pp.748-751, 16- 20.
[11]. Lee H, and Mouse A M. (1996). “GPS travelling wave fault locator systems: investigation theanomalous measurements related to lightning strikes”. IEEE Trans on Power Delivery, Vol.11, No.3, pp.1214-1223.
[12]. P.F. Gale, P.V. Taylor and P. Naidoo, (2001). “Traveling wave fault locator experience on Eskom's transmission network”. Proc. Seventh International Conference on Developments in Power System Protection, pp.327-330.
[13].Chen Ping, Xu Bingyin, and Li Jing, (2009). “The optimized combination of fault location technology based on traveling wave principle”. Proceedings of Asia- Pacific Power and Energy Engineering, pp.28-31.
[14]. A. Ngaopitakkul, and N. Suttisinthong, (2012). “Discrete wavelet transform and probabilistic neural classification of fault type in underground cable”. Machine Learning and Cybernetics (ICMLC) International Conference, Vol.1, No., pp.360-366.
[15]. P. Makming, S. Bunjongjit, A. Kunakorn, and S. Kando, (2002). "Fault diagnosis in transmission lines using wavelet transforms analysis". Transmission and Distribution Conference and Exhibition Asia Pacific. IEEE- PES, Vol.3, No, pp.2246-2250.
[16]. Bo. Z.Q. Jiang, F. Z. Chen. X.Z, Dong, G. Weller and M. A. Redfern, (2000). "Transient based protection for power transmission systems". Power Engineering Society Winter Meeting, IEEE, Vol.3, No, pp.1832-1837.
[17]. S. Tarlochan, and Xu. Zhihan, (2010). "Detection of Incipient Faults in Distribution Underground Cables". IEEE Trans. on Power Delivery, Vol.25, No.3, pp.1363-1371.
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