A shape optimization of cooling ducts in try-type transformers using Computational Fluid Dynamics (CFD) and Genetic Algorithm (GA) is presented in this paper. The GA algorithm was used to optimize the diameters of the ducts and both internal and external part of the HV and LV coils. The constraints in the optimization process were the minimum distance between HV and LV windings and total dimensions of the coils. Since the investigated transformer was a special unit, the objective function was to minimize the average/maximum temperature of the windings, and thus the coil power losses. Its value was determined a CFD model taking all three heat transfer mechanisms into consideration. Both coil anisotropic properties and coil power losses varied in each generated coil configuration. The results showed that the non-uniform positioning of the wires and air ducts can significantly improve the cooling conditions of the analyzed unit. In consequence, the coil losses were substantially reduced.
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