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.
Authors
- Antonio M. Silva Filho (ORCID: https://orcid.org/0000-0003-3520-5711)
- A. Paulo Coimbra (ORCID: https://orcid.org/0000-0003-3780-2405)
- Wesley Pacheco Calixto (ORCID: https://orcid.org/0000-0002-1928-4432)
- Clóves Gonçalves Rodrigues (ORCID: https://orcid.org/0000-0003-0140-9847)
- Carlos Leandro Borges da Silva
- Orlando Belo (ORCID: https://orcid.org/0000-0003-2157-8891)
- Júnio S. Bulhões (ORCID: https://orcid.org/0000-0002-7476-7058)
- Thyago G. Pires
Institutions
- 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)
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
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação para a Ciência e a Tecnologia