Design Optimization of a Three-Phase Transformer Using Finite Element Analysis

TL;DR

This paper presents a method to optimize a three-phase transformer’s design parameters using finite element analysis and a multi-objective evolutionary algorithm to minimize volume and losses, enhancing efficiency.

Contribution

It introduces a combined finite element modeling and differential evolution approach for optimizing transformer design parameters for improved efficiency and reduced material costs.

Findings

Maximum efficiency at 75% load with unity power factor

Optimal design parameters reduce volume and losses

Efficiency decreases with lower power factor

Abstract

Optimization of design parameters of a transformer is a crucial task to increase efficiency and lower the material cost. This research presents an approach to model a three-phase transformer and optimize design parameters to minimize the volume and loss. ANSYS Maxwell 2D is used to model the transformer and analyze it for different design parameters. The multi-objective differential evolution algorithm is used to find optimum design parameters that minimize the volume and loss. In this paper, we present the optimum design parameters for a 1 kVA transformer with a particular input and output voltage specification. The transformer with these optimum design parameters is then tested for different loading conditions and power factor values. The results show that the maximum efficiency is obtained for 75% loading condition with unity power factor. As the power factor decreases, the efficiency decreases as well.