Publication result detail

Advanced Transformer Design Optimization via Simulated Annealing

MRAJCA, M.; ŠILLING, P.

Original Title

Advanced Transformer Design Optimization via Simulated Annealing

English Title

Advanced Transformer Design Optimization via Simulated Annealing

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper presents an innovative approach to the design of distribution oil transformers using the Simulated Annealing optimization algorithm. The proposed method can be implemented as software capable of fully replacing a human designer in the search for optimal transformer configurations, minimizing cost, weight, or other design criteria. The study provides an in-depth analysis of the algorithm's functionality and its suitability for transformer design. A significant portion is dedicated to explaining how the transformer calculation is integrated into the algorithm, detailing input parameters, design variables, output parameters, and optimization constraints that determine whether a design meets the required specifications. Finally, the effectiveness of the optimization algorithm is compared to human designers, focusing on the duration of the design process and the achieved cost minimization.

English abstract

This paper presents an innovative approach to the design of distribution oil transformers using the Simulated Annealing optimization algorithm. The proposed method can be implemented as software capable of fully replacing a human designer in the search for optimal transformer configurations, minimizing cost, weight, or other design criteria. The study provides an in-depth analysis of the algorithm's functionality and its suitability for transformer design. A significant portion is dedicated to explaining how the transformer calculation is integrated into the algorithm, detailing input parameters, design variables, output parameters, and optimization constraints that determine whether a design meets the required specifications. Finally, the effectiveness of the optimization algorithm is compared to human designers, focusing on the duration of the design process and the achieved cost minimization.

Keywords

transformer design, Simulated annealing, optimization, automatic process, cost minimization

Key words in English

transformer design, Simulated annealing, optimization, automatic process, cost minimization

Authors

MRAJCA, M.; ŠILLING, P.

Released

29.04.2025

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6321-9

Book

Proceedings I of the 31th Conference STUDENT EEICT 2025 General Papers

Edition

1

Pages from

311

Pages to

315

Pages count

5

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf

BibTex

@inproceedings{BUT198516,
  author="Miroslav {Mrajca} and Petr {Šilling}",
  title="Advanced Transformer Design Optimization via Simulated Annealing",
  booktitle="Proceedings I of the 31th Conference STUDENT EEICT 2025 General Papers",
  year="2025",
  series="1",
  pages="311--315",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6321-9",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf"
}