Multi-objective grounding system optimisation using NSGA-II
DOI:
https://doi.org/10.32397/tesea.vol5.n2.616Keywords:
Step voltage, Touch voltage, Algorithm II (NSGA-II), Grounding system, non-dominated Sorting Genetic, OptimizationAbstract
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.
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Copyright (c) 2024 Miriam Lucero Tenorio, Angel C. Valcárcel Rojas
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