Heat transfer analysis of three phase transformer considering unpredictable load demand changes

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Abstract
In general, one of the main components used in electric power systems is a transformer. In principles, this equipment uses a magnetic process through the pairing winding where a cooling system is also applied to maintain the expected operational performance and to maintain heat transfer during the power delivery. In fact, load demand changes fluctuate depending on the behavior of energy users. This research is conducted to evaluate heat transfer in a three-phase transformer. This work also takes into the flowing current gradually based on the heat generated in the transformer. To cover these objectives, the analysis is directed to the power transformer optimization using the Artificial Salmon Tracking Algorithm (ASTA) for performing heat flow rates on-demand changes. The results obtained indicate that ASTA has a potential implementation for determining the optimal heat transfer. The demand changes have affected the power loss detected in both windings which are migrated out of heat through the cooling and fluid systems.
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