Thermography Study on Distribution Transformer in Substation: Transformer Core Material

Thermography Study on Distribution Transformer in Substation: Transformer Core Material

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© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Mardzulliana Zulkifli , Muhammad Zulqarnain Muthaza , Iqbal Safaat , Sim Sy Yi, Norain Sahari
DOI : 10.14445/22315381/IJETT-V71I3P202

How to Cite?

Mardzulliana Zulkifli , Muhammad Zulqarnain Muthaza , Iqbal Safaat , Sim Sy Yi, Norain Sahari , "Thermography Study on Distribution Transformer in Substation: Transformer Core Material," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 9-16, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P202

Abstract
Switchgear and terminations for transmission and distribution lines are all parts of an electrical system known as a transformer substation. Transformer substations can possibly even better convert voltage from high to low. Especially for distribution networks, the thermal performance of power substations is a significant concern. The heat generated by a transformer's operation raises the temperature of its internal components. Transformers with higher efficiency rise in temperature less quickly than those with lower efficiency. Heat damage that occurs to the transformer windings during normal operation is one of the main causes of damage. SolidWorks' thermal simulation software, thermal method analysis, was utilised to assess thermal performance. In this project, amorphous metal and amorphous steel are employed as the two material cores to compare and simulate the thermal analysis in rising temperature and heat flux. When compared to actual tests, which had restrictions on the thermal result, the simulation's results can be used to help choose the right material. The maximum temperature the simulation determines between amorphous metal and amorphous steel is 60 ℃. The heat flux result indicates an initial value of 6 x 104 W/m2 and an increase in the metal's thermal conductivity to 60 ℃. As a result, amorphous metal was suggested as a potential for transformer core material.

Keywords
Deep learning, Heat, Temperature, Thermal image, Transformer core, Thermography.

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