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Hybrid fault diagnosis algorithms for transmission lines

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Abstract

This paper presents a fault location method for transmission lines with the application of a mono-objective optimization technique using the ellipsoid algorithm with voltage and current data of both terminals. The fault detection is performed using the stationary wavelet transform and Parseval’s theorem, and the classification was conducted with the application of artificial neural networks. The minimization of the objective function defined for the short and long transmission line models provides not only the distance to the fault point, but also the fault resistance value. Many short-circuit situations simulated in the alternative transients program are tested with variations in the fault type, adjustments in the distance to the fault point, and fault resistance. The results of the algorithm applied to real faults in the electrical system of Brazil are also presented and compared to the values obtained with a classic fault location algorithm. According to the observations, the adopted formulation achieves the pre-established objectives, with mean errors of fault location for the real cases lower than 2% of the line length.

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References

  1. Silveira EG, Pereira CS (2007) Transmission line fault location using two terminal data without time synchronization. IEEE Trans Power Syst 22(1):498–499

    Article  Google Scholar 

  2. Girgis A, Hart DG, Peterson WL (1992) A new fault location technique for two and three-terminal lines. IEEE Transactions on Power Delivery 7(1):98–107

    Article  Google Scholar 

  3. Vieira D, Oliveira BD, Lisboa AC (2013) A closed-form solution for untransposed transmission-lines fault location with non-synchronized terminals. IEEE Trans Power Deliv 28(1):524–525

    Article  Google Scholar 

  4. Azizi S, Sanaye-Pasand M, Mario Paolone (2016) Locating faults on untransposed, meshed transmission networks using a limited number of synchrophasor measurements. IEEE Trans Power Syst 31(6):4462–4472

    Article  Google Scholar 

  5. Terzija VV, Radojevic ZM (2004) New approach for fault location on transmission lines not requiring line parameters. IEEE Trans Power Deliv 19(2):554–559

    Article  Google Scholar 

  6. Apostopoulus C, Korres Korres G N (2010) A novel algorithm for locating faults on transposed/untransposed transmission lines without utilizing line parameters. IEEE Trans Power Deliv 25(4):2328–2338

    Article  Google Scholar 

  7. Preston G, Radojevic Z, Kim C, Terzija V (2011) New settings-free fault location algorithm based on synchronised sampling. Inst Eng Technol Gener Transm Distrib 5(3):376–383

    Article  Google Scholar 

  8. Vieira D, Oliveira DB, Lisboa AC (2013) A closed-form solution for transmission-line fault location without the need of terminal synchronization or line parameters. IEEE Trans Power Deliv 28(2):1238–1239

    Article  Google Scholar 

  9. Zhang S, Gao H, Song Y (2016) A new fault location algorithm for extra-high voltage mixed lines based on phase characteristics of hyperbolic tangent function. IEEE Trans Power Deliv 31(3):1203–1212

    Article  Google Scholar 

  10. Alternative Transient Program Rule Book (1987) European EMTP Center. Belgica, Leuven

  11. IEEE Commom Format for Transient Data Exchange (COMTRADE) for Power Systems Relay Committee of the IEEE Power Engineering Society, New York, USA, IEEE Standard C37.111-1999

  12. Phadke AG, Thorp JS (1988) Computer relaying for power system. Research Studies Press, New York

    Google Scholar 

  13. Sachdev MS, Baribeau MA (1979) A new algorithm for digital impedance relays. IEEE Trans 98:2232–2240

    Google Scholar 

  14. Jensen A, La Cour-Harbo A (2001) Ripples in mathematics: the discrete wavelet transform. Springer, Berlin

    Book  MATH  Google Scholar 

  15. Saravanababu K, Balakrishnan P, Sathiyasekar K (2013) Transmission line faults detection, classification, and location using discrete wavelet transform. In: IEEE, international conference on power, energy and control (ICPEC), pp 233–238

  16. Costa FB (2014) Fault-induced transient detection based on real-time analysis of the wavelet coefficient energy. In: IEEE transactions on power delivery

  17. Kalam MA, Jamil M, Ansari AQ (2010) Wavelet based ANN approach for fault location on a transmission line. In: IEEE, New Delhi conference

  18. Silva KM, Souza BA, Brito NSD (2006) Fault detection and classification in transmission lines based on wavelet transform and ANN. IEEE Trans Power Deliv 21(4):2058

    Article  Google Scholar 

  19. Demuth H, Beale M (2015) Neural network toolbox user’s guide. The Math Work, Natick

    Google Scholar 

  20. Lout, Aggarwal RK (2012) A Feedforward artificial neural network approach to fault classification and location on a 132 kV transmission line using current signals only. In: IEEE, Universities power engineering conference (UPEC)

  21. Pradhan AK, Mohanty SR, Routray A (2006) Neural fault classifier for transmission line protection: a modular approach. In: IEEE, Department of Electrical Engineering, Kharagpur

  22. Paganotti AL, Afonso MM, Schroeder MAO, Alípio RS, Gonçalves EN, Saldanha RR (2015) An adaptive deep-cut ellipsoidal algorithm applied to the optimization of transmission lines. IEEE Trans Magn 51(3):1

    Article  Google Scholar 

  23. Johns AT, Jamali S (1990) Accurate fault location technique for power transmission line. IEEE Proc 137:395–402

    Google Scholar 

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Acknowledgements

The author would like to acknowledge the Electric Company of Minas Gerais for providing the data for the real cases and thus contributing to the research and the validation of the methods applied.

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Authors and Affiliations

  1. Research and Graduate Program in Electrical Engineering, Federal Center for Technological Education of Minas Gerais, Belo Horizonte, Brazil

    E. G. Silveira, H. R. Paula & S. A. Rocha

  2. Research and Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil

    C. S. Pereira

Authors
  1. E. G. Silveira
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  2. H. R. Paula
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  3. S. A. Rocha
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  4. C. S. Pereira
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Correspondence to E. G. Silveira.

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Silveira, E.G., Paula, H.R., Rocha, S.A. et al. Hybrid fault diagnosis algorithms for transmission lines. Electr Eng 100, 1689–1699 (2018). https://doi.org/10.1007/s00202-017-0647-7

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  • DOI: https://doi.org/10.1007/s00202-017-0647-7

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