Advanced Transformer Design Optimization via Simulated Annealing

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.