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Optimitization of Interconnection of Reclosers via Fiber Optic to the Automation of Energy Network with Self-Healing

Author: CARVALHO, M. N. L., SILVA, M. R. P., VIEIRA, F. H. T., ROCHA, F. G. C.

Abstract: In this article, it is proposed the use of a multiobjective genetic algorithm NSGA-II (Nondominated Sorting Genetic Algorithm) for dimensioning the mesh optical network that connects the reclosers of a smart grid which has the self-healing capacity. Considering only link distances (cost), this dimensioning can be done considering the solution to the Traveling Salesman Problem. Thus, we first present in this work a performance comparison of the following algorithms used to solve the Traveling Salesman Problem (TSP): Brute Force, Cross Entropy, Genetic Algorithm, and Nondominated SortingGenetic Algorithm (NSGAII). Next, we propose the NSGA-II to dimension the mesh optical network, considering factors such as cost and throughput.

Keywords: Genetic Algorithm. Multi-objective Optimization. Smart Grid. Self-Healing. Telecommunications

Full paper (in Portuguese)

Full reference: Carvalho, M. N. L., Silva, M. R. P., Vieira, F. H. T., Rocha, F. G. C., "Otimização de Interligaçãao de Religadores por Fibra Óptica para Automação de Redes Auto-recuperáveis de Energia Elétrica", Revista de Sistemas de Informação da FSMA n 21(2018) pp. 20-34

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