Multi-objective grounding system optimisation using NSGA-II

This study investigates the optimisation of grounding infrastructure in substations by implementing the philosophy of the multi-objective algorithm NSGA-II Elite. A complete description of the operating scheme and the characteristic mechanisms that support the behaviour and development of optimal Pareto solutions is provided. A detailed comparison was made with the optimisation method used in the GMAT program of Aplicaciones Tecnológicas, based on a semi-optimization process derived from the correlation of semi-precision optimisation solutions. The results show that multi-objective optimisation using NSGA-II results in a significant cost reduction compared to the semi-optimization method, although the computational time required to reach the final solution increases significantly. This approach allows a more adequate understanding of optimising the terrestrial substation grid. It highlights its ability to generate more cost-effective and performance-efficient solutions by carefully considering the computing time required.

• Autores: Lucero Tenorio, Miriam; Valcárcel Rojas, Angel C.
• Tipo de recurso: Article of journal
• Fecha de publicación: 2024
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/13544
• Acceso en línea: https://doi.org/10.32397/tesea.vol5.n2.616
• Palabra clave: Step voltage; Touch voltage; Algorithm II (NSGA-II); Grounding system; non-dominated Sorting Genetic; Optimization
• Rights: openAccess
• License: Miriam Lucero Tenorio, Angel C. Valcárcel Rojas - 2024