Comparison of Impedance Based and Travelling Waves Based Fault Location Methods for Power Distribution Systems Tested in a Real 205-Nodes Distribution feeder

Regular Paper

Abstract

In this paper, two fault location methods in a real 205-nodes distribution feeder have been compared. The applied fault location algorithms are impedance and travelling based methods. The investigated algorithms have some meaningful differences which researchers find interesting. Most importantly the number and types of measuring devices for logging the voltage/current at a set relay point and at a particular sampling rate. Due to the fundamental component of voltage and current during a post-fault impedance based algorithm, both voltage and current recorders have been installed with a low sampling rate. In a travelling wave based algorithm, they voltage recorder uses high sampling rate. The accuracy of the algorithms have been validated by several simulated fault studies carried out in EMTP-RV software on a 205-nodes 20 kV real radial distribution feeder. In order to show the capabilities of each method, the simulation results have been presented in different cases such as fault type, fault resistance, fault inception angle and existence of distributed generation.

Keywords

Power distribution systems Fault location Impedance based method Travelling wave method Discrete wavelet transform EMTP-RV software 

References

  1. 1.
    C. Myeon-Song, L. Seung-Jae, L. Duck-Su, J. Bo-Gun, New fault location algorithm using direct circuit analysis for distribution system. IEEE Trans. Power Deliv. 19(1), 35–41 (2004)Google Scholar
  2. 2.
    M.S. Sachdev, R. Agarwal, A technique for estimating transmission line fault locations from digital impedance relay measurements. IEEE Trans. Power Deliv. 3(1), 121–129 (1988)CrossRefGoogle Scholar
  3. 3.
    S.R. Hartstein, Extended fault-location formulation for power distribution systems. IEEE Trans. Power Deliv. 24(2), 508–516 (2009)Google Scholar
  4. 4.
    A.D. Filomena, M. Resener, R.H. Salim, A.S. Bretas, Fault location for underground distribution feeders: an extended impedance-based formulation with capacitive current compensation. Int. J. Electr. Power Energy Syst. 31(9), 489–496 (2009)CrossRefGoogle Scholar
  5. 5.
    R.H. Salim, K.C.O. Salim, A.S. Bretas, Further improvements on impedance-based fault location for power distribution systems. IET Gener Trans. Distrib. 5(4), 467–478 (2011)CrossRefGoogle Scholar
  6. 6.
    Y. Liao, Generalized fault-location methods for overhead electric distribution systems. IEEE Trans. Power Deliv. 26(1), 53–64 (2011)CrossRefGoogle Scholar
  7. 7.
    R. Krishnathevar, Generalized impedance-based fault location for distribution systems. IEEE Trans. Power Deliv. 27(1), 449–451 (2012)CrossRefGoogle Scholar
  8. 8.
    J.U.N. Nunes, A.S. Bretas. Impedance-based fault location formulation for unbalanced primary distribution systems with distributed generation, in 2010 International Conference on Power System Technology (POWERCON) (IEEE, 2010)Google Scholar
  9. 9.
    J. Mora-Florez, J. Melendez, G. Carrillo-Caicedo, Comparison of impedance based fault location methods for power distribution systems. Electr. Power Syst. Res. 78(4), 657–666 (2008)CrossRefGoogle Scholar
  10. 10.
    IEEE Power Engineering Society, in IEEE Guide for Determining Fault Location on AC Transmission and Distribution Lines, IEEE Std C37.114; (2004)Google Scholar
  11. 11.
    D. Penkov, B. Raison, C. Andrieu, J. P. Rognon, B. Enacheanu, DG impact on three phase fault location. DG use for fault location purposes? in Future Power Systems, 2005 International Conference on 2005 Nov 18 (IEEE, 2005), 6 ppGoogle Scholar
  12. 12.
    A.S. Bretas, R.H. Salim, Fault location in unbalanced DG systems using the positive sequence apparent impedance, in 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America. (IEEE 2006)Google Scholar
  13. 13.
    F. Mo, W. Kinser, Wavelet modeling of transients in power systems, IEEE Conf. Commun. Power Comput. 132–137 (1997)Google Scholar
  14. 14.
    L. Peretto, R. Sasdelli, E. Scala, R. Tinarelli, Performance characterization of a measurement system for locating transient voltage sources in power distribution networks. IEEE Trans Instrum. Measure. 58(2), 450–456 (2009)CrossRefGoogle Scholar
  15. 15.
    Peretto L, Sasdelli R, Scala E, Tinarelli R. Fault location method integrating a distributed measurement system and wavelet analysis, in Proceedings IEEE instrumentation and measurement technology conference (IMTC) (Warsaw, Poland, 2007), pp. 1–6Google Scholar
  16. 16.
    M. Korkali, H. Lev-Ari, A. Abur, Travelling-wave-based fault-location technique for transmission grids via wide-area synchronized voltage measurements. IEEE Trans. Power Syst. 27(2), 1003–1011 (2012)CrossRefGoogle Scholar
  17. 17.
    A. Borghetti et al., Continuous-wavelet transform for fault location in distribution power networks: definition of mother wavelets inferred from fault originated transients. IEEE Trans. Power Syst. 23(2), 380–388 (2012)CrossRefGoogle Scholar
  18. 18.
    A. Rafinia, J. Moshtagh, A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS. Electr. Power Energy Syst. 55, 261–274 (2014)CrossRefGoogle Scholar
  19. 19.
    Javadian SAM, Nasrabadi AM, Haghifam MR, Rezvantalab J., Determining Fault’s type and accurate location in distribution systems with DG using MLP neural networks. in Proceedings International conference on clean electrical power, (Capri, 2009), pp. 284–289Google Scholar
  20. 20.
    D. Thukaram, H.P. Khincha, H.P. Vijaynarasimha, Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans. Power Deliv. 20(2), 710–721 (2005)CrossRefGoogle Scholar
  21. 21.
    M. Pourahmadi-Nakhli, A. Safavi, Path characteristic frequency-based fault locating in radial distribution systems using wavelets and neural networks. IEEE Trans. Power Deliv. 26(2), 772 (2011)CrossRefGoogle Scholar
  22. 22.
    C.K. Jung, K.H. Kim, J.B. Lee, B. Klöckl, Wavelet and neuro-fuzzy based fault location for combined transmission systems. Int J Electric Power Energy Syst. 29(6), 445–454 (2007)CrossRefGoogle Scholar
  23. 23.
    M. Goudarzi, B. Vahidi, R.A. Naghizadeh, S.H. Hosseinian, Improved fault location algorithm for radial distribution systems with discrete and continuous wavelet analysis. Electr. Power Energy Syst. 67, 423–430 (2015)CrossRefGoogle Scholar
  24. 24.
    Z. Jun, D.L. Lubkeman, A.A. Girgis, Automated fault location and diagnosis on electric power distribution feeders. IEEE Trans. Power Deliv. 12(2), 801–809 (1997)CrossRefGoogle Scholar
  25. 25.
    S. Jamali, V. Talavat, A new fault location algorithm for distribution systems with distributed generations. in: The 43rd International Universities Power Engineering Conference (UPEC2008), (Padova, Italy, 2008), pp. 155–159Google Scholar
  26. 26.
    L. Seung-Jae, C. Myeon-Song, K. Sang-Hee, J. Bo-Gun, L. Duck-Su, A. Bok-Shin, Y. Nam-Seon, K. Ho-Yong, W. Sang-Bong, An intelligent and efficient fault location and diagnosis scheme for radial distribution systems. IEEE Trans. Power Deliv. 19(2), 524–532 (2004)CrossRefGoogle Scholar
  27. 27.
    E.C. Senger, G. Lubkeman, A. A. Manassero Jr., C. Goldemberg, E.L. Pellini, Automated fault location and diagnosis on electric power distribution feeders. IEEE Trans. Power Deliv. 20(2), 1332–1340 (2005)CrossRefGoogle Scholar
  28. 28.
    C.S. Cheng, D. Shirmohammadi, A three-phase power flow method distribution system analysis. IEEE Trans. Power Deliv. 20(2), 671–679 (1995)CrossRefGoogle Scholar
  29. 29.
    G. D Glover, M. “Power system analysis and design,” PWS Publishing Company, Ch. 12, (1994)Google Scholar
  30. 30.
    X. Yang, M.S. Choi, S.J. Lee, C.W. Ten, S.I. Lim, Fault location for underground power cable using distributed parameter approach. IEEE Trans. Power Syst. 23(4), 1809–1816 (2008)CrossRefGoogle Scholar
  31. 31.
    F.H. Magnago, A. Abur, A new fault location technique for radial distribution systems based on high frequency signals. Proc. IEEE Power Eng. Soc. Summer Meet. 1, 426–431 (1999)Google Scholar
  32. 32.
    F.H. Magnago, A. Abur, Fault location using wavelets. IEEE Trans. Power Delivery 13(4), 1475–1480 (1998)CrossRefGoogle Scholar
  33. 33.
    F.H. F. H, A. Abur, A new fault location technique for radial distribution systems based on high frequency signals. Proc. IEEE-Power Eng. Soc. Summer Meet. 1, 426–431 (1999)Google Scholar
  34. 34.
    L. Liang, S. Elangovan, B.X. Devotta, Application of wavelet transform in travelling wave protection. Int. J. Electr. Power Energy Syst. 22, 537–542 (2000)CrossRefGoogle Scholar
  35. 35.
    S. R., A. K. Pradhan, and A. Routray, A cumulative sum-based fault detector for power system relaying application. IEEE Trans. Power Deliv. 1, 79–86 (2008)Google Scholar
  36. 36.

Copyright information

© The Korean Institute of Electrical and Electronic Material Engineers 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUrmia UniversityUrmiaIran

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