Work

Hermetically sealed ecodesign distribution transformer weight optimization considering power losses and total ownership cost (TOC)

Year: 2025

Type: article

Abstract: This paper investigates the application of heuristic optimization techniques for weight optimization in eco-design distribution transformers, with a focus on hermetically sealed transformers. Specifically, the study employs Differential Evolution (DE), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) algorithms to compare their efficacy against conventional design approaches. Through rigorous analysis, GWO emerges as the superior method, showcasing enhanced performance in weight optimization. The findings underscore the significance of weight optimization in eco-design, as it directly contributes to resource conservation, including essential materials like copper, aluminum, oil, and iron. Consequently, the study highlights the pivotal role of heuristic optimization methods in advancing eco-friendly transformer design practices, with GWO demonstrating notable superiority in achieving weight reduction objectives. • Power Transformer. • Energy Efficiency. • Optimization.

Source: e-Prime - Advances in Electrical Engineering Electronics and Energy

DOI: 10.1016/j.prime.2025.100946

Authors: Mohammad Hassan Hashemi, Ulas Kilic

Institution: Ege University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,400