A novel algorithm for fault classification in transmission lines using a combined adaptive network and fuzzy inference system

International Journal of Electrical Power and Energy System

Volumn 25, Issue 9, 2003, Pages 747-758

  Yeo, Sang Min ^a   Kim, Chul Hwan ^a   Hong, Kwang Seok ^a   Lim, Young Bherm ^b   Aggarwal, Raj K ^b   Johns, Allan T ^c   Choi, Myeon Song ^d  

^a Sungkyunkwan University   (South Korea)

^b LG Electronics Inc   (South Korea)

^c University of Bath   (United Kingdom)

^d Myong Ji University   (South Korea)

Author keywords

Adaptive network; Fault classification; Fuzzy inference system; Transmission line

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; ELECTRIC FAULT CURRENTS; FUZZY CONTROL;

FAULT CLASSIFICATION;

ELECTRIC LINES;

EID: 0038010287     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(03)00029-2     Document Type: Article

References (17)

1. Kim C.H., Lee M.H., Aggarwal R.K., Johns A.T. Educational use of EMTP MODELS for the study of a distance relaying algorithm for protecting transmission lines. IEEE Trans Power Syst. 15:(1):2000;9-15.
2. Dalstein T., Kulicke B. Neural network approach to fault classification for high speed protective relaying. IEEE Trans Power Deliv. 10:(2):1995;1002-1011.
3. Wang H., Keerthipala W.W.L. Fuzzy-neuro approach to fault classification for transmission line protection. IEEE Trans Power Deliv. 13:(4):1998;1093-1104.
4. Keerthipala WWL, Wang H, Wai CT. Experimental validation of a fuzzy-neuro based fault classifier for transmission line protection. International Conference Power Systems Transients, IPST '99, Budapest, Hungary; June 1999. p. 549-54.
5. Agrawal P. An investigation into a method of detecting the fault induced high frequency voltage signals of EHV transmission lines for protection applications. IEEE Trans Power Deliv. 6:(1):1991;119-126.
6. Gilbert D.M., Morrison I.F. A statistical method for the detection of power system faults. Electr Power Energy Syst. 19:(4):1997;269-275.
7. Djuric M.B., Radojevic Z.M., Terzija V.V. Numerical algorithm for arcing faults detection and fault distance calculation on overhead lines. Electr Mach Power Syst. 1997;939-953.
8. Djuric M.B., Radojevic Z.M., Terzija V.V. Arcing faults detection on transmission lines using least error squares technique. ETEP. 8:(6):1998;437-443.
9. Fitton D.S., Dunn R.W., Aggarwal R.K., Johns A.T., Bennett A. Design and implementation of an adaptive single pole autoreclosure technique for transmission line using artificial neural networks. IEEE Trans Power Deliv. 11:(2):1996;748-755.
10. Aggarwal RK, Song YH, Johns AT. Adaptive three-phase autoreclosure for double-circuit transmission system using neural networks. IEE Second International Conference on Advances Power System Control, Operation and Management, Hong Kong; Dec. 1993. p. 389-92.
11. Kim CH, Byun SH, Kim H, Kim ID, Aggarwal RK, Johns AT. A novel approach to detecting arcing faults in transmission lines using wavelet transforms. International Conference on Electrical Engineering, ICEE '98, Kyongju, Korea; July 1998. p. 775-8.
12. Hines J.W. MATLAB supplement to fuzzy and neural approaches in engineering. 1997;Wiley, New York.
13. Jang J.S.R., Sun C.T. Neuro-fuzzy modeling and control. Proc IEEE. 83:(3):1995;378-406.
14. Lee J.B., Lee S.J., Kim C.H., Lim H.Y. A study on the development and relaying scheme under high resistance earth faults on HV, EHV line. Electr Engng Sci Res Inst. 1997.
15. Kim CH, Aggarwal RK, Johns AT. Digital simulation of the fault transient phenomena on EHV transmission lines under non-linear high impedance arcing faults. International Conference on Power Systems Transients, IPST '99, Budapest, Hungary; June 1999. p. 164-8.
16. Kim CH, Ahn SP. A study on the arc modeling in transmission lines using EMTP. International Power Engineering Conference, IPEC '99, Mandarin Hotel, Singapore; May 1999. p. 52-7.
17. Kim CH, Choi HS, Kang SH, Aggarwal RK, Johns AT. A neural network approach to the detection of high impedance faults in transmission networks. International Power Engineering Conference, IPEC '99, Mandarin Hotel, Singapore; May 1999. p. 798-803.