Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms
| dc.creator | Silva, Carlos Leandro Borges da | |
| dc.creator | Pires, Thyago Gumeratto | |
| dc.creator | Silva Filho, Antonio Marcelino da | |
| dc.creator | Bulhões, Júnio Santos | |
| dc.creator | Belo, Orlando Manuel Oliveira | |
| dc.creator | Rodrigues, Clóves Gonçalves | |
| dc.creator | Coimbra, Antonio Paulo | |
| dc.creator | Calixto, Wesley Pacheco | |
| dc.date.accessioned | 2026-06-09T14:32:40Z | |
| dc.date.available | 2026-06-09T14:32:40Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This paper presents a practical methodology for optimizing the geometry of electrical grounding grids at industrial frequencies of 50 Hz and 60 Hz, integrating advanced calculation techniques and evolutionary algorithms to improve the safety and operational performance of electrical grounding systems. The proposed approach is particularly beneficial for industrial automation and control systems, where effective grounding is necessary to maintain system reliability and prevent downtime. This methodology employs mathematical modeling and computational tools to optimize grid parameters, ensuring compliance with safety standards while reducing operational costs, thus contributing to the overall efficiency of automated systems in industrial environments. The study reports a reduction of up to 66% in the number of vertical rods and 40% in horizontal conductors compared to traditional methods. These results indicate that the proposed methodology can significantly reduce material usage and costs while maintaining electrical safety in accordance with regulatory standards, making it applicable to a wide range of industrial settings, including substations and automated facilities. | |
| dc.identifier.citation | SILVA, Carlos Leandro Borges da et al. Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms. Swarm and Evolutionary Computation, Amsterdam, v. 95, e101953, 2025. DOI: 10.1016/j.swevo.2025.101953. Disponível em: https://www.sciencedirect.com/science/article/pii/S2210650225001117. Acesso em: 8 jun. 2026. | |
| dc.identifier.doi | 10.1016/j.swevo.2025.10195 | |
| dc.identifier.issn | 2210-6502 | |
| dc.identifier.uri | https://repositorio.bc.ufg.br//handle/ri/30636 | |
| dc.language.iso | eng | |
| dc.publisher.country | Holanda | |
| dc.publisher.department | Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG) | |
| dc.publisher.program | Programa de Pós-graduação em Engenharia Elétrica e da Computação | |
| dc.rights | Acesso Aberto | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Evolutionary algorithms | |
| dc.subject | Optimization of electrical grounding | |
| dc.subject | System modeling | |
| dc.subject | Resilient infrastructure | |
| dc.subject | Industrial automation systems | |
| dc.subject.ODS | 9 - Industria, inovação e infraestrutura | |
| dc.title | Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms | |
| dc.type | Artigo |