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A Reviewed Turn at of Methods for Determining the Type of Fault in Power Transformers Based on Dissolved Gas Analysis

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  • Ancuța-Mihaela Aciu

    (Research and Development Department, National Institute for Research, Development and Testing in Electrical Engineering-ICMET Craiova, 200746 Craiova, Romania)

  • Sorin Enache

    (Faculty of Electrical Engineering, University of Craiova, 200440 Craiova, Romania)

  • Maria-Cristina Nițu

    (Research and Development Department, National Institute for Research, Development and Testing in Electrical Engineering-ICMET Craiova, 200746 Craiova, Romania)

Abstract

Since power transformers are the most important pieces of equipment in electricity transmission and distribution systems, special attention must be paid to their maintenance in order to keep them in good condition for a long time. This paper reviews the main steps in the process of diagnosing the health of power transformer insulation, which involves the science of analysing the gases dissolved in power transformer oil for effective identification of faults. An accurate diagnosis of incipient faults is favourable to sustainable development and necessary to maintain a reliable supply of electricity. The methods presented for fault diagnosis in mineral-oil-immersed power transformers are divided into analytical and graphical methods and have been found to be simple, economical and effective. After describing the methods, both their strengths and weaknesses were identified, and over the years, the methods were complemented to provide highly accurate information, validated by field inspections. This paper focuses on practical information and applications to manage maintenance based on accurate and up-to-date data. The contents of this paper will be of particular use to engineers who manufacture, monitor and/or use high-power transformers in the energy sector, as well as to undergraduate, master’s and PhD students interested in such applications.

Suggested Citation

  • Ancuța-Mihaela Aciu & Sorin Enache & Maria-Cristina Nițu, 2024. "A Reviewed Turn at of Methods for Determining the Type of Fault in Power Transformers Based on Dissolved Gas Analysis," Energies, MDPI, vol. 17(10), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2331-:d:1393025
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    References listed on IDEAS

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    1. Ancuța-Mihaela Aciu & Claudiu-Ionel Nicola & Marcel Nicola & Maria-Cristina Nițu, 2021. "Complementary Analysis for DGA Based on Duval Methods and Furan Compounds Using Artificial Neural Networks," Energies, MDPI, vol. 14(3), pages 1-22, January.
    2. Wani, Shufali Ashraf & Rana, Ankur Singh & Sohail, Shiraz & Rahman, Obaidur & Parveen, Shaheen & Khan, Shakeb A., 2021. "Advances in DGA based condition monitoring of transformers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. Rafael Ninno Muniz & Carlos Tavares da Costa Júnior & William Gouvêa Buratto & Ademir Nied & Gabriel Villarrubia González, 2023. "The Sustainability Concept: A Review Focusing on Energy," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    4. Xiaoqin Zhang & Hongbin Zhu & Bo Li & Ruihan Wu & Jun Jiang, 2022. "Power Transformer Diagnosis Based on Dissolved Gases Analysis and Copula Function," Energies, MDPI, vol. 15(12), pages 1-14, June.
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