Year: 2022
Type: article
Abstract: 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.
Institutions: Karamanoğlu Mehmetbey University, Gazi University
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4221011874