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Failure Diagnosis and Root-Cause Analysis of In-Service and Defective Distribution Transformers

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  • Saravanakumar Arumugam

    (Institute of Marine Engineering, University of Rostock, Justus-von-Liebig-Weg 2, 18059 Rostock, Germany)

Abstract

Diagnostic data of transformers are essential in determining their integrity and to estimate their reliability. Such diagnostic data is not available for distribution transformers as only meagre attempts are made to accumulate this information. The reason for lack of such attention is attributed to the compromise made to meet financial constraints and cost-cutting measures. It is needless to emphasize the significance of these diagnostic data in evading premature failures and enhancing the accuracy of the maintenance program. Overall, the concepts of diagnostic methods are well defined regarding power transformers, but cannot be extended to distribution transformers. This paper attempts to fill this gap by measuring the diagnostic data from in-service and defective distribution transformers. For this purpose, eight transformers (six in-service, two defective) showing deviations in their diagnostic status were selected from a group. As per their kVA rating and operating status, the chosen transformers were categorized into three sets and their integrity of insulation and winding-core arrangement were analyzed. Later, the root-cause analysis was performed on defective transformers to understand their failure reasons and possibilities to evade them. The pertinent data obtained are quite valuable for making decisions regarding reliability-oriented maintenance and for extending its potential in the distributed generation.

Suggested Citation

  • Saravanakumar Arumugam, 2021. "Failure Diagnosis and Root-Cause Analysis of In-Service and Defective Distribution Transformers," Energies, MDPI, vol. 14(16), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4997-:d:614549
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    References listed on IDEAS

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    1. Cho, Namhun & Yun, Sangwon & Jung, Jaesung, 2019. "Determining the reverse fault current by the type of transformer and Distributed Generation in distribution system during the single-line to ground fault," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 102-115.
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    Cited by:

    1. Kamil Lewandowski & Hubert Moranda & Radoslaw Szewczyk, 2023. "Bubble Effect Phenomenon in Modern Transformer Insulation Systems Using Aramid-Based Materials and Alternative Insulating Liquids," Energies, MDPI, vol. 16(14), pages 1-15, July.

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