LAPSE:2023.7453v1
Published Article
LAPSE:2023.7453v1
Improving the Efficiency of Earth Fault Detection by Fault Current Passage Indicators in Medium-Voltage Compensated Overhead Networks
February 24, 2023
Abstract
The article presents a method for detecting earth faults in a compensated medium-voltage network, which can be used especially in fault current passage indicators, but also in standard protection devices. The method is based on the adaptation process of the zero-sequence current protection setting, with the adaptation factor depending on the current value of the zero-sequence voltage. In this article, a comparative analysis of the classical and adaptive zero-sequence current criterion is conducted, taking into account the errors of the measuring system. The results of simulations performed in the PSCad environment are also presented. For a representative set of example short circuits, it was shown that the effectiveness of the presented criterion can be more than 50% higher than that of the standard criteria, taking into account the range of detected transition resistances. A comparison of the proposed method with admittance criteria was also drawn, and it was shown that it is suitable for the detection of high-resistance earth faults.
Keywords
compensated MV network, earth fault detection, efficiency improving, fault current passage indicator, high-resistance fault
Suggested Citation
Olejnik B, Zięba B. Improving the Efficiency of Earth Fault Detection by Fault Current Passage Indicators in Medium-Voltage Compensated Overhead Networks. (2023). LAPSE:2023.7453v1
Author Affiliations
Olejnik B: Faculty of Environmental Engineering and Energy, Institute of Electric Power Engineering, Poznan University of Technology, Piotrowo Street 5, 60-965 Poznan, Poland [ORCID]
Zięba B: Faculty of Computer, Electrical and Control Engineering, Institute of Automation, Electronics and Electrical Engineering, University of Zielona Gora, Z. Szafrana Street 2, 65-516 Zielona Gora, Poland [ORCID]
Journal Name
Energies
Volume
15
Issue
23
First Page
9007
Year
2022
Publication Date
2022-11-28
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15239007, Publication Type: Journal Article
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LAPSE:2023.7453v1
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https://doi.org/10.3390/en15239007
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