Work

Volume Optimization for a Single-Phase Air-Core Reactor – 2D Finite Element Method and Particle Swarm Optimization Approach

Year: 2024

Type: article

Abstract: This paper describes the optimization of an air core reactor using Particle Swarm Optimization (PSO) combined with the finite element analysis. The aim is to reduce material volume costs in manufacturing and maintenance. PSO is a nature-inspired optimization algorithm that simulates swarm behavior in search of the best solution in a multidimensional search space. This article employs the PSO optimization method as an initial contribution to the design of single-phase air-core reactors, suggesting the possibility of further studies comparing its efficacy with other heuristic algorithms on the subject in the future.

Source: Renewable Energy and Power Quality Journal

DOI: 10.52152/4052

Authors: Jeylto Alves de Souza Cruvinel, José Roberto Camacho

Institution: Universidade Federal de Uberlândia

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Universidade Federal de Uberlândia, Financiadora de Estudos e Projetos, Fundação de Amparo à Pesquisa do Estado de Minas Gerais