Lan Jin, Dowon Kim
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 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.
@article{8c2e28a8-3191-4d63-93a9-75e8d079a03b,
title={Energies 2022, 15, 3379. https://doi.org/10.3390/en15093379},
author={Lan Jin and Dowon Kim},
year={2022},
language={English}
}TY - JOUR TI - Energies 2022, 15, 3379. https://doi.org/10.3390/en15093379 AU - Lan Jin AU - Dowon Kim PY - 2022 LA - English ER -
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