Reliable High Impedance Fault Detection with Experimental Investigation in Distribution Systems
Received: 3 July 2024 | Revised: 17 August 2024 | Accepted: 29 August 2024 | Online: 3 September 2024
Corresponding author: Mohamed Zaky
Abstract
An approach for high-impedance fault detection is introduced in this paper. This technique discriminates between high-impedance faults and switching conditions by utilizing changes in the third harmonic current/voltage magnitude in conjunction with the conventional wavelet algorithm. The concept of discrimination is based on the observation that switching conditions typically do not involve changes in the zero-sequence third harmonic magnitude. However, in the case of high-impedance arcing faults, a noticeable change in the third harmonic current or voltage magnitude occurs. The performance of the proposed technique is examined through a detailed simulation of an actual medium voltage radial distribution feeder. In this simulation, high-impedance faults are represented by an arc model. The simulation, conducted in MATLAB for different fault cases, reveals that all fault cases are detected using the proposed technique. Furthermore, the experimental validation of the reliability of the proposed technique is accomplished using the same actual distribution feeder.
Keywords:
recursive Fourier transform, discrete wavelet transform, high impedance faults, MV networkDownloads
References
E. M. Esmail, M. M. Elgamasy, T. A. Kawady, A.-M. I. Taalab, N. I. Elkalashy, and M. A. Elsadd, "Detection and experimental investigation of open conductor and single-phase earth return faults in distribution systems," International Journal of Electrical Power & Energy Systems, vol. 140, Sep. 2022, Art. no. 108089.
M. S. Zaky, H. E. Ahmed, M. Elsadd, and M. Elgamasy, "Protection of HVDC Transmission Systems for Integrating Renewable Energy Resources," Engineering, Technology & Applied Science Research, vol. 13, no. 6, pp. 12237–12244, Dec. 2023.
N. I. Elkalashy et al., "Earth fault distance estimation using travelling waves provided with triacs-based reclosing in distribution networks," IET Renewable Power Generation, vol. 15, no. 1, pp. 43–57, 2021.
B. K. Ponukumati, A. K. Behera, L. Subhadarshini, P. Sinha, M. K. Maharana, and A. V. P. Kumar, "Unbalanced Distribution Network Cross-Country Fault Diagnosis Method with Emphasis on High-Impedance Fault Syndrome," Engineering, Technology & Applied Science Research, vol. 14, no. 2, pp. 13517–13522, Apr. 2024.
A. Ghaderi, H. L. Ginn, and H. A. Mohammadpour, "High impedance fault detection: A review," Electric Power Systems Research, vol. 143, pp. 376–388, Feb. 2017.
N. I. Elkalashy, M. Lehtonen, H. A. Darwish, A.-M. I. Taalab, and M. A. Izzularab, "A novel selectivity technique for high impedance arcing fault detection in compensated MV networks," European Transactions on Electrical Power, vol. 18, no. 4, pp. 344–363, 2008.
T. NengLing and C. JiaJia, "Wavelet-based approach for high impedance fault detection of high voltage transmission line," European Transactions on Electrical Power, vol. 18, no. 1, pp. 79–92, 2008.
I. Baqui, I. Zamora, J. Mazón, and G. Buigues, "High impedance fault detection methodology using wavelet transform and artificial neural networks," Electric Power Systems Research, vol. 81, no. 7, pp. 1325–1333, Jul. 2011.
K. Rai, F. Hojatpanah, F. Badrkhani Ajaei, and K. Grolinger, "Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders," Energies, vol. 14, no. 12, Jan. 2021, Art. no. 3623.
S. Kavaskar and N. K. Mohanty, "Detection of High Impedance Fault in Distribution Networks," Ain Shams Engineering Journal, vol. 10, no. 1, pp. 5–13, Mar. 2019.
A. Aljohani and I. Habiballah, "High-Impedance Fault Diagnosis: A Review," Energies, vol. 13, no. 23, Jan. 2020, Art. no. 6447.
J. C. Huaquisaca Paye et al., "High Impedance Fault Models for Overhead Distribution Networks: A Review and Comparison with MV Lab Experiments," Energies, vol. 17, no. 5, Jan. 2024, Art. no. 1125.
M. Kizilcay and P. La Seta, "Digital simulation of fault arcs in medium-voltage distribution networks," in 15th Power Systems Computation Conference, Liege, Belgium, Aug. 2005, pp. 1–7.
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Copyright (c) 2024 Mostafa Satea, Mahmoud Elsadd, Mohamed Zaky, Mahmoud Elgamasy
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