Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

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

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.

References

    1. 1)
      • 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.
    2. 2)
      • 16. Abradee: ‘IX national week of population security with electricity’, Brazil, 2014.
    3. 3)
      • 21. Aneel: ‘Procedures for electric energy distribution in the national electric system(prodist)—modules 1–8 (in Portuguese), 2011.
    4. 4)
      • 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.
    5. 5)
      • 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.
    6. 6)
      • 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.
    7. 7)
      • 19. Understanding FFT and windowing. Available at http://www.ni.com/whitepaper/4844/en/, accessed March 2016.
    8. 8)
      • 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.
    9. 9)
      • 20. Prabhu, K.M.M.: ‘Window functions and their applications in signal processing’ (CRC Press, Boa Raton, FL, USA, 2013).
    10. 10)
      • 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.
    11. 11)
      • 5. Jeerings, D.I., Linders, J.R.: ‘High impedance fault analyzer in electric power distribution’. US Patent 4,851,782 A, 25 July 1989.
    12. 12)
      • 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.
    13. 13)
      • 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.
    14. 14)
      • 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).
    15. 15)
      • 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.
    16. 16)
      • 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.
    17. 17)
      • 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.
    18. 18)
      • 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.
    19. 19)
      • 14. Epri: ‘Epri report: detection of arcing faults on distribution feeders’. Tech. Rep., Palo Alto, 1982.
    20. 20)
      • 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.
    21. 21)
      • 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.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2018.0093
Loading

Related content

content/journals/10.1049/iet-gtd.2018.0093
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address