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Erschienen in: Electrical Engineering 1/2021

13.10.2020 | Original Paper

Current signal processing-based methods to discriminate internal faults from magnetizing inrush current

verfasst von: Adel Ali Amar Etumi, Fatih Jamel Anayi

Erschienen in: Electrical Engineering | Ausgabe 1/2021

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Abstract

Two new methods, current change ratio (CCR) and percentage area difference (PAD) were proposed to solve a problem of how to distinguish between internal faults and inrush condition when transformer is switched on. This problem may delay operation or may mal-operate some protection schemes like deferential protection. The methods were concluded after observing and analyzing the behavior and shape of large number of both inrush and internal fault signals that had been obtained using a model transformer in a laboratory. The methods were practically tested on a three-phase transformer with rated power of 20 kVA at Cardiff University’s laboratory and the data were processed using LabVIEW and MATLAB programs. The results showed that internal faults can be correctly distinguished from inrush condition within a short time (from 5 to 10 ms), particularly the minor internal faults such as the interturn fault which is submerged to inrush current and make it is too difficult to be detected. The advantages of these algorithms are simple in design and faster than the second harmonic method which is the most popular method used for solving this problem.

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Metadaten
Titel
Current signal processing-based methods to discriminate internal faults from magnetizing inrush current
verfasst von
Adel Ali Amar Etumi
Fatih Jamel Anayi
Publikationsdatum
13.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 1/2021
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-020-01115-2

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