High impedance fault detection method based on the short-time Fourier transform

High impedance fault detection method based on the short-time Fourier transform

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A method to detect high impedance faults (HIFs) based on low-order harmonics is proposed. Short-time Fourier transform (STFT) is used to extract the main harmonic components of phase current, as magnitude and phase of the third harmonic and magnitude of the second and fifth harmonics, which are used to identify HIF occurrence. In addition, this study presents an analysis of the window length and type used in STFT and its suitability for the application. The method proposed is able to detect HIF occurrence at various points of the test system, as well as HIF happening on different soil surfaces. It is also capable of distinguishing HIF events from similar distribution system disturbances such as capacitor banks switching and feeder energising. Furthermore, it is effective when real HIF oscillography is applied, indicating its tolerance to typical noises present on real signals.


    1. 1)
      • 1. dos Santos, W.C., de Souza, B.A., Brito, N.S.D., et al: ‘High impedance faults: from field tests to modeling’, J. Control Autom. Electr. Syst., 2013, 24, (6), pp. 885896.
    2. 2)
      • 2. Mai, W., Phung, B.T., Ambikairajah, E.: ‘Detection of high impedance faults in medium voltage distribution networks’. IPEC, 2012 Conf. on Power & Energy, Ho Chi Minh City, Vietnam, December 2012, pp. 562567.
    3. 3)
      • 3. Balser, S.J., Clements, K.A., Lawrence, D.J.: ‘A microprocessor-based technique for detection of high impedance faults’, IEEE Trans. Power Deliv., 1986, 1, (3), pp. 252258.
    4. 4)
      • 4. Huang, C.-L., Chu, H.-Y., Chen, M.-T.: ‘Algorithm comparison for high impedance fault detection based on staged fault test’, IEEE Trans. Power Deliv., 1988, 3, (4), pp. 14271435.
    5. 5)
      • 5. Jeerings, D.I., Linders, J.R.: ‘High impedance fault analyzer in electric power distribution’. US Patent 4,851,782 A, 25 July 1989.
    6. 6)
      • 6. Girgis, A.A., Chang, W., Makram, E.B.: ‘Analysis of high-impedance fault generated signals using a Kalman filtering approach’, IEEE Trans. Power Deliv., 1990, 5, (4), pp. 17141724.
    7. 7)
      • 7. Sharaf, A.W., Snider, L.A., Debnath, K.: ‘A third harmonic sequence ANN based detection scheme for high impedance faults’. Canadian Conf. on Electrical and Computer Engineering, Vancouver, BC, Canada, 1993, pp. 802806.
    8. 8)
      • 8. Yu, D.C., Khan, S.H.: ‘An adaptive high and low impedance fault detection method’, IEEE Trans. Power Deliv., 1994, 9, (4), pp. 18121821.
    9. 9)
      • 9. Zanjani, M.G.M., Kargar, H.K., Zanjani, M.G.M.: ‘High impedance fault detection of distribution network by phasor measurement units’. 2012 Proc. 17th Conf. on Electrical Power Distribution Networks (EPDC), Tehran, Iran, May 2012, pp. 15.
    10. 10)
      • 10. Yeh, H.-G., Tran, D.H., Yinger, R.: ‘High impedance fault detection using orthogonal transforms’. 2014 IEEE Green Energy and Systems Conf. (IGESC), Long Beach, CA, USA, November 2014, pp. 6772.
    11. 11)
      • 11. García, J.C., García, V.V., Kagan, N.: ‘Detection of high impedance faults in overhead multi grounded networks’. 2014 11th IEEE/IAS Int. Conf. on Industry Applications (INDUSCON), Juiz de Fora, Brazil, December 2014, pp. 16.
    12. 12)
      • 12. Routray, P., Mishra, M., Rout, P.K.: ‘High impedance fault detection in radial distribution system using s-transform and neural network’. 2015 IEEE Power, Communication and Information Technology Conf. (PCITC), Bhubaneswar, India, October 2015, pp. 545551.
    13. 13)
      • 13. Nakagomi, R.M.: ‘Proposing a system of high impedance faults in distribution networks’. PhD thesis, Master's thesis, University of São Paulo, 2006(in Portuguese).
    14. 14)
      • 14. Epri: ‘Epri report: detection of arcing faults on distribution feeders’. Tech. Rep., Palo Alto, 1982.
    15. 15)
      • 15. Santos, W.C., Lopes, F.V., Brito, N.S.D., et al: ‘High-impedance fault identification on distribution networks’, IEEE Trans. Power Deliv., 2017, 32, (1), pp. 2332.
    16. 16)
      • 16. Abradee: ‘IX national week of population security with electricity’, Brazil, 2014.
    17. 17)
      • 17. Brito, N.S.D., de Souza, B.A., dos Santos, W.C., et al: ‘Analysis of the influence of the window used in the short-time Fourier transform for high impedance fault detection’. 2016 17th Int. Conf. on Harmonics and Quality of Power (ICHQP), Belo Horizonte, Brazil, October 2016, pp. 350355.
    18. 18)
      • 18. Zhang, S., Yu, D., Sheng, S.: ‘A discrete STFT processor for realtime spectrum analysis’. IEEE Asia Pacific Conf. on Circuits and Systems, 2006 (APCCAS 2006), Singapore, December 2006, pp. 19431946.
    19. 19)
      • 19. Understanding FFT and windowing. Available at, accessed March 2016.
    20. 20)
      • 20. Prabhu, K.M.M.: ‘Window functions and their applications in signal processing’ (CRC Press, Boa Raton, FL, USA, 2013).
    21. 21)
      • 21. Aneel: ‘Procedures for electric energy distribution in the national electric system(prodist)—modules 1–8 (in Portuguese), 2011.

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