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Oil-Immersed Power Transformer Condition Monitoring Methodologies: A Review

Author

Listed:
  • Lan Jin

    (School of Electrical Engineering, Computing, Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

  • Dowon Kim

    (School of Electrical Engineering, Computing, Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

  • Ahmed Abu-Siada

    (School of Electrical Engineering, Computing, Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

  • Shantanu Kumar

    (BHP, Perth, WA 6000, Australia)

Abstract

A power transformer is one of the most critical and expensive assets in electric power systems. Failure of a power transformer would not only result in a downtime to the entire transmission and distribution networks but may also cause personnel and environmental hazards due to oil leak and fire. Hence, to enhance a transformer’s reliability and extend its lifespan, a cost-effective and reliable condition monitoring technique should be adopted from day one of its installation. This will help detect incipient faults, extend a transformer’s operational life, and avoid potential consequences. With the global trend to establish digital substation automation systems, transformer online condition monitoring has been given much attention by utilities and researchers alike. Several online and offline condition monitoring techniques have been recently proposed for oil-immersed power transformers. This paper is aimed at providing a state-of-the-art review for the various condition monitoring technologies used for oil-immersed power transformers. Concept of measurements and analysis of the results along with the future trend of condition monitoring techniques are presented.

Suggested Citation

  • Lan Jin & Dowon Kim & Ahmed Abu-Siada & Shantanu Kumar, 2022. "Oil-Immersed Power Transformer Condition Monitoring Methodologies: A Review," Energies, MDPI, vol. 15(9), pages 1-32, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3379-:d:809496
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    References listed on IDEAS

    as
    1. Ahmed Abu-Siada, 2019. "Improved Consistent Interpretation Approach of Fault Type within Power Transformers Using Dissolved Gas Analysis and Gene Expression Programming," Energies, MDPI, vol. 12(4), pages 1-13, February.
    2. Michał Kunicki & Sebastian Borucki & Andrzej Cichoń & Jerzy Frymus, 2019. "Modeling of the Winding Hot-Spot Temperature in Power Transformers: Case Study of the Low-Loaded Fleet," Energies, MDPI, vol. 12(18), pages 1-17, September.
    3. Ji Liu & Daning Zhang & Xinlao Wei & Hamid Reza Karimi, 2014. "Transformation Algorithm of Dielectric Response in Time-Frequency Domain," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, June.
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