The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the Technique of Fault Classification in Transmission Lines Using a Combined Adaptive Network-Based Fuzzy Inference System

ANFIS를 이용한 송전선로의 고장판별 기법에 관한 연구

  • 여상민 (성균관대 전기전자 및 컴퓨터공학부) ;
  • 김철환 (성균관대 전기전자 및 컴퓨터공학부)
  • Published : 2001.09.01
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Abstract

This paper proposes a technique for fault detection and classification for both LIF(Low Impedance Fault)s and HIF(High Impedance Fault)s using Adaptive Network-based Fuzzy Inference System(ANFIS). The inputs into ANFIS are current signals only based on Root-Mean-Square(RMS) values of 3-phase currents and zero sequence current. The performance of the proposed technique is tested on a typical 154 kV Korean transmission line system under various fault conditions. Test results show that the ANFIS can detect and classily faults including (LIFs and HIFs) accurately within half a cycle.

Keywords

References

  1. C.H. Kim, M.H. Lee, R.K. Aggarwal, A.T. Johns, 'Educational Use of EMTP MODELS for the Study of a Distance Relaying Algorithm for Protecting Transmission Lines', IEEE Trans. on Power System, Vol. 15, No. 1, pp. 9-15, Feb. 2000 https://doi.org/10.1109/59.852094
  2. T. Dalstein, B. Kulicke, 'Neural Network Approach to Fault Classification for High Speed Protective Relaying', IEEE Trans. on Power Delivery, Vol. 10, No. 2, pp. 1002-1011, April 1995 https://doi.org/10.1109/61.400828
  3. H. Wang, W.W.L. Keerthipala, 'Fuzzy-Neuro Approach to Fault Classification for Transmission Line Protection', IEEE Trans. on Power Delivery, Vol. 13, No. 4, pp. 1093-1104, Oct. 1998 https://doi.org/10.1109/61.714467
  4. W.W.L. Keerthipara, H. Wang, C.T. Wai, 'Experimental Validation of a Fuzzy-Neuro based Fault Classifier for Transmission Line Protection', International Conference on Power Systems Transients, IPST 99, Budapest, Hungary, pp. 549-554, June 1999
  5. P. Agrawal, 'An Investigation into a Method of Detecting the Fault Induced High Frequency Voltage Signals of EHV Transmission Lines for Protection Applications', IEEE Trans. on Power Delivery, Vol. 6, No. 1, pp. 119-126, Jan. 1991 https://doi.org/10.1109/61.103730
  6. D.M. Gilbert, I.F. Morrison, 'A Statistical Method for the Detection of Power System Faults', Electrical Power & Energy Systems, Vol. 19, No. 4, pp. 269-275, 1997 https://doi.org/10.1016/S0142-0615(96)00049-X
  7. M.B. Djuric, Z.M. Radojevic, V.V. Terzija, 'Numerical Algorithm for Arcing Faults Detection and Fault Distance Calculation on Overhead Lines', Electric Machines and Power Systems, pp. 939-953, 1997
  8. M.B. Djuric, Z.M. Radojevic, V.V. Terzija, 'Arcing Faults Detection on Transmission Lines using Least Error Squares Technique', ETEP, Vol. 8, No. 6, pp. 437-443, Nov./Dec. 1998
  9. D.S. Fitton, R.W. Dunn, R.K. Aggarwal, A.T. Johns, A. Bennett, 'Design and Implementation of an Adaptive Single Autoreclosure Technique for Transmission Line using Artificial Neural Networks', IEEE Trans. on Power Deliver, Vol. 11, No. 2, pp. 748-755, 1996 https://doi.org/10.1109/61.489331
  10. R.K. Aggarwal, Y.H. Song, A.T. Johns, 'Adaptive Three-phase Autoreclosure for Double-circuit Transmission System using Neural Networks', IEE 2nd International Conference on Advances in Power System Control, Operation and Management, Hong Kong, pp. 389-392, Dec. 1993
  11. C.H. Kim, S.H. Byun, H. Kim, I.D. Kim, R.K. Aggarwal, A.T. Johns, 'A Novel Approach to Detecting Arcing Faults in Transmission Lines using Wavelet Transforms', International Conference on Electrical Engineering, ICEE 98, Kyongju, Korea, Vol. 2, pp. 775-778, July 1998
  12. J.W. Hines, MATLAB Supplement to Fuzzy and Neural Approaches in Engineering, John Wiley & Sons, Inc., pp. 194-205, 1997
  13. J.S.R. Jang, C.T. Sun, 'Neuro-Fuzzy Modeling and Control', Proceedings of the IEEE, Vol. 83, No. 3, pp. 378-406, March 1995 https://doi.org/10.1109/5.364486
  14. J.B. Lee, S.J. Lee, C.H. Kim, H.Y. Lim, 'A Study on the Development and Relaying Scheme under High Resistance Earth Faults on HV, EHV Line', Electrical Engineering & Science Research Institute, 1997
  15. C.H. Kim, R.K. Aggarwal, A.T. Johns, 'Digital Simulation of the Fault Trasient Phenomena on EHV Transmission Lines under Non-Linear High Impedance Arcing Faults', International Conference on Power Systems Transients, IPST 99, Budapest, Hungary, pp. 164-168, June 1999
  16. C.H. Kim, S.P. Ahn, 'A Study on the Arc Modeling in Transmission Lines using EMTP', International Power Engineering Conference, IPEC 99, Mandarin Hotel Singapore, pp. 52-57, May 1999
  17. C.H. Kim, H.S. Choi, S.H. Kang, R.K. Aggarwal, A.T. Johns, 'A Neural Network Approach to the Detection of High Impedance Faults in Transmission Networks', International Power Engineering Conference, IPEC 99, Mandarin Hotel Singapore, pp. 798-803, May 1999