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EM-Taguchi-PSO design optimization of three-phase power transformers
Gutierrez-McCoy, Michael
Gutierrez-McCoy, Michael
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2022
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Abstract
Power Transformers are an essential part of all AC Power Grids. This work proposes a multi-objective design optimization method for Power Transformers to increase efficiency while decreasing core volume in a case study of a step-down transmission-voltage transformer. A Finite-Element State-Space (FE-SS) Model was used in conjunction with Artificial Neural Networks, Particle Swarm Optimization, and the Taguchi Method. This case study of a transformer utilizes the added benefit of transformer testing data to verify FE-SS Model accuracy before optimization.
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