High impedance fault location for aged power distribution cables using combined neural networks & wavelet analysis

International Review of Electrical Engineering

Volumn 4, Issue 5, 2009, Pages 967-975

  Moshtagh, J ^a   Jalili, P ^a  

^a UNIVERSITY OF KURDISTAN   (Iran)

Author keywords

Fault location; High impedance faults; Neural network; Underground distribution cable; Wavelet

Indexed keywords

EID: 77952254935     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. W. Charytoniuk, W.J Lee., M. Chen, J. Cultrera, and T. Maffetone, Arcing fault detection in underground distribution networks-feasibility study, IEEE Transactions on Industry Applications, vol. 36, no. 6, 2000.
2. B. Koch and Y. Carpentier, Manhole explosions due to arcing faults on underground secondary distribution cables in ducts, IEEE Transactions on Power Delivery, vol. 7, pp. 1425-1433, July 1992.
3. R. Fernandez, H. Rojas, An overview of wavelet transform application in power systems, 14 th PSCC, 2002, Sevilla.
4. M. Michalik, W. Rebizant, M. Lukowicz, S.J. Lee, S.H. Kang, High-Impedance fault detection in distribution networks with use of wavelet-based algorithm, IEEE Transactions on Power Delivery, vol. 21, no. 4, 2006.
5. N. I. Elkalashy, M. Lehtonen, H. A. Darwish, M. A. Izzularab and A-M. I. Taalab, DWT-based investigation of phase currents for detecting high impedance faults due to leaning trees in unearthed MV networks, IEEE/PES General Meeting, 2007, Florida, USA.
6. J. moshtagh and P. jalili, A new approach to arcing fault detection in underground distribution system using combined neural network & wavelet analysis, 5th International Conference on Technical and Physical Problems of Power Engineering~TPE2009~, September 2009, Bilbao, Spain.
7. A.A Girgis, D. G. Hart and W.L. Peterson, A new fault location technique for two-and three terminal lines, IEEE Transactions on Power Delivery, vol. 7, no. 1, 1992.
8. M. Kezunovic and B. Perunicic, Automated transmission line fault analysis using synchronized sampling at two ends, IEEE Transactions on Power Systems, vol. 11, no.1, pp. 441-447, 1996.
9. C. Wang, C. X. Dou, X. B. Li, Q.Q. Jia, A WAMS/PMU-based fault location technique, Electric Power Systems Research, vol. 77, no. 8, pp. 936-945, 2007.
10. S. Navaneethan, J. Soraghan, W. H. Siew, F. Mcpherson & P. F. Gale, Automatic fault location for underground low voltage distribution networks, IEEE Transactions on Power Delivery, vol. 16, no. 2, pp. 346-351, 2001.
11. M. Gilany, D. K. Ibrahim, E. S. T. Eldin, Travelling wave based fault location scheme for multiend aged underground cable system, Ieee Transactions on Power Delivery, vol. 22, no. 1, pp. 82-89, 2007.
12. I. Sadinezhad, M. Joorabian, An adaptive precise one end fault location in transmission lines based on hybrid complex least error squares algorithm and adaptive artificial neural networks, International Review of Electrical Engineering-IREE, vol. 3 no.5 pp. 803-810, 2008.
13. J. Moshtagh & P. Jalili, A new approach to series fault location in underground distribution system using combined neural network & wavelet analysis, IEEE-International Conference on Electrical Power and Energy Conservation Systems~EPEC2009~, November 2009, American University of Sharjah, UAE.
14. KL. Butler, JA. Momoh, Detection and classification of line faults on power distribution systems using neural network, Proceedings of the Midwest symposium on circuits and system, vol. 1, pp. 368-71, 1993.
15. IEEE guide for protective relay applications to transmission lines, 1999, IEEE Std C37.113-1999.