A Modified Dissolved Gas Analysis Technique as a Diagnostic Tool for Faults in Power Transformers
2019 21st International Middle East Power Systems Conference (MEPCON), Tanta University, Egypt • 2019
Publication Information
Authors
Sayed A.Ward, Adel ELFaraskoury, Mohamed Badwi, Shimaa Adel Ibrahim
Keywords
dissolved gas analysis (DGA), a new approach, conditional probability technique, Duval method, modified technique.
Journal
2019 21st International Middle East Power Systems Conference (MEPCON), Tanta University, Egypt
Publisher
2019 21st International Middle East Power Systems Conference (MEPCON), Tanta University, Egypt
Volume
2019 21st International Middle East Power Systems Conference (MEPCON), Tanta University, Egypt
Issue
978-1-7281-5289-9/19/$31.00 ©2019 IEEE
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Sayed Abo-Elsood Sayed Ward_shima adel paper sayed mepcon 2019.pdf
Abstract
Dissolved Gas Analysis (DGA) is one of the most common methods used to diagnosis the fault types in the transformers. The fault types which occur in the power transformer are categorized as partial discharge, low discharge energy, high discharge energy, low thermal fault, medium thermal fault and high thermal fault. These faults can be specified according to the concentrations of each dissolved in the transformer oil. In this paper, the modified technique result depends on the outputs of the three techniques (new approach, conditional probability, Duval). The modified technique was prepared to increase the accuracy of the detection of the transformer fault types. It was constructed based on 386 samples that were collected from the Egyptian Electricity Transmission company (EETC) – Central Chemical Laboratories, and were known their actual faults. The result of the modified DGA technique indicated an increase of the diagnostic accuracy rather than the other DGA techniques.
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