A novel algorithm for discrimination between inrush current and internal faults in power transformer differential protection based on discrete wavelet transform

This paper proposes a novel methodology for transformer differential protection, based on wave shape recognition of the discriminating criterion extracted of the instantaneous differential currents. Discrete wavelet transform has been applied to the differential currents due to internal fault and in...

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Bibliographic Details
Published in:Electric power systems research 2011, Vol.81 (1), p.19-24
Main Authors: Eldin, A.A. Hossam, Refaey, M.A.
Format: Article
Language:English
Subjects:
Applied sciences
Connection and protection apparatus
Differential protection
Discrete Wavelet Transform (DWT)
Electrical engineering. Electrical power engineering
Exact sciences and technology
Median Absolute Deviation (MAD)
Power electronics, power supplies
Transformer internal fault
Transformers and inductors
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Summary:This paper proposes a novel methodology for transformer differential protection, based on wave shape recognition of the discriminating criterion extracted of the instantaneous differential currents. Discrete wavelet transform has been applied to the differential currents due to internal fault and inrush currents. The diagnosis criterion is based on median absolute deviation (MAD) of wavelet coefficients over a specified frequency band. The proposed algorithm is examined using various simulated inrush and internal fault current cases on a power transformer that has been modeled using electromagnetic transients program EMTDC software. Results of evaluation study show that, proposed wavelet based differential protection scheme can discriminate internal faults from inrush currents.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2010.07.010