Optimization of Dry-Type Transformer Parameters with Different Methods and FEA Analysis

OpenAlex İngilizce

Due to the importance of correct optimization of transformer design parameters and efficiency, six design variables are used in this study for the optimization of a dry type three-phase transformer based on FEA analysis. Optimization was carried out using the variables of an iron cross-section acceptability (C), the current density of primary and secondary windings (s), magnetic flux density (B), and primary and secondary windings cross-section area (q1, q2). For efficiency optimization, particle swarm optimization (PSO) and Artificial Bee Colony (ABC) algorithms are used and magnetic flux distribution and loss values are obtained with ANSYS/MAXWELL. As a result of the optimization, 98.67% and 98.69% efficiency, 1096.56 and 1108.45 W power gains were obtained with PSO and ABC. In addition, the change in magnetic flux distribution according to the cross-sectional area determined according to the C value obtained as a result of the optimization is shown.