Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms

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. • Method optimizes grounding grids using evolutionary algorithms and advanced modeling. • Reduces costs and improves safety by optimizing grid efficiency in stratified soils. • Evolutionary algorithms ensure adaptive grounding configurations for diverse soil types. • Minimizes material usage, installation time, and electrical interference in automation. • Suitable for substations and industrial systems, improving reliability and resilience.

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Publication Details

Journal
Swarm and Evolutionary Computation
Published
2025-05-01
DOI
https://doi.org/10.1016/j.swevo.2025.101953
Citations
2
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
2.31

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article

Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms

Antonio M. Silva Filho, A. Paulo Coimbra, Wesley Pacheco Calixto, Clóves Gonçalves Rodrigues et al.
2 citations
Swarm and Evolutionary Computation
Lightning and Electromagnetic Phenomena
2.31
article

Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms

Antonio M. Silva Filho, A. Paulo Coimbra, Wesley Pacheco Calixto, Clóves Gonçalves Rodrigues, Carlos Leandro Borges da Silva, Orlando Belo, Júnio S. Bulhões, Thyago G. Pires
article en
2 citations

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. • Method optimizes grounding grids using evolutionary algorithms and advanced modeling. • Reduces costs and improves safety by optimizing grid efficiency in stratified soils. • Evolutionary algorithms ensure adaptive grounding configurations for diverse soil types. • Minimizes material usage, installation time, and electrical interference in automation. • Suitable for substations and industrial systems, improving reliability and resilience.

Swarm and Evolutionary ComputationVol. 95
Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso (BR), Universidade Federal do Tocantins (BR), Institute for Systems Engineering and Computers (PT), Instituto Federal de Goiás (BR), Instituto Federal do Tocantins (BR), Pontifícia Universidade Católica de Goiás (BR), Universidade Federal de Goiás (BR), University of Coimbra (PT), University of Minho (PT)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação para a Ciência e a Tecnologia
Life in Land
Openalex Percentile: Top 12%
Lightning and Electromagnetic Phenomena
2.31
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