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High resistance grounding fault detection based on arc suppression coil tuning process

Published: 31 July 2024 Publication History

Abstract

The existing fault development tracking and detection techniques for resonant grounding systems do not consider the arc suppression coil tuning process. The fault detection ignores the use of arc suppression information, and cannot accurately identify and track the fluctuation of transition resistance. In this paper, based on the transient process after adjusting the arc suppression coil of following-setting mode to the full compensation state, the transient circuit analysis model is established, the transient change law of zero-sequence parameters is analyzed, the identification method of transition resistance is proposed, and the feeder selection method of high resistance grounding fault is presented. Simulation and experiment exhibit the feasibility of the proposed methods.

References

[1]
M Mitolo, R Musca, M Tartaglia, 2019. Electrical safety analysis in the presence of resonant grounding neutral. IEEE Transactions on Industry Applications, 55(05): 4483- 4489.
[2]
M Barzegar-Kalashani, MA Mahmud. 2022. A linear hybrid active disturbance rejection controller design to extenuate powerline bushfires in resonant grounded distribution power systems. International Journal of Electrical Power & Energy Systems, 142:108192.
[3]
X Dong and S Shi. 2008. Identifying Single-Phase-to-Ground Fault Feeder in Neutral Noneffectively Grounded Distribution System Using Wavelet Transform. IEEE Transactions on Power Delivery, 23(4), 1829-1837.
[4]
J Gao, X Wang, X Wang, A Yang, H Yuan and X Wei. 2022. A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy. IEEE Transactions on Smart Grid, 13(2), 900-912.
[5]
K Pandakov, H K Høidalen and S Trætteberg. 2018. An Additional Criterion for Faulty Feeder Selection During Ground Faults in Compensated Distribution Networks, IEEE Transactions on Power Delivery, 33(6), 2930-2937.
[6]
X Wang, J Gao, X Wei, L Guo, G Song and P Wang. 2023. Faulty Feeder Detection Under High Impedance Faults for Resonant Grounding Distribution Systems. IEEE Transactions on Smart Grid, 14(3), 1880-1895.
[7]
X Wang 2019. High Impedance Fault Detection Method Based on Variational Mode Decomposition and Teager–Kaiser Energy Operators for Distribution Network. IEEE Transactions on Smart Grid, 10(6), 6041-6054.
[8]
Y Teng, Z Zhang and X Li. 2020. Improved Approach to High-Frequency Current Injection-Based Protection for Grounding Electrode Line in High-Voltage Direct Current System. IEEE Transactions on Industrial Application, 56(3), 2409-2417.
[9]
X Lin, J Huang and S Ke. 2011. Faulty Feeder Detection and Fault Self-Extinguishing by Adaptive Petersen Coil Control, IEEE Transactions on Power Delivery, 26(2), 1290-1291.
[10]
X Zeng, Y Xu and Y Wang. 2010. Some Novel Techniques for Insulation Parameters Measurement and Petersen-Coil Control in Distribution Systems. IEEE Transactions on Industrial Electronics, 57(4), 1445-1451.

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  1. High resistance grounding fault detection based on arc suppression coil tuning process

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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