2025-09-302025-09-302025-09-22GOMES, Walder Júnior do Carmo. Uso da ferramenta computacional MEAN-PC para avaliar os parâmetros operacionais e de proteção de redes radiais de distribuição. Orientador: Andrey Ramos Vieira. 2025. 96 f. Trabalho de Curso (Bacharelado em Engenharia Elétrica) – Faculdade de Engenharia Elétrica, Campus Universitário de Tucuruí, Universidade Federal do Pará, Tucuruí, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/8645. Acesso em:.https://bdm.ufpa.br/handle/prefix/8645The reconfiguration of the topology of radial distribution systems (SDR) has been explored as a combinatorial problem, in which a configuration is sought that operates in the minimum loss state and presents a better voltage profile among the feeders, characterized by a better distribution of power flow in the lines, which directly influences the increase in the useful life of the equipment installed in the network. In this context, the MEAN (Multi-Objective Evolutionary Algorithm with NDE) was used, which combines subpopulation tables with the Node-Depth Encoding (NDE) technique, which employs two network operators, the Preserve Ancestor Operator (PAO) and the Change Ancestor Operator (CAO), used in the evolution of the population. By applying the MEAN-PC (MEAN with Protection Constraints) both to the initial topology and to the altered topology, the routine must find solutions that: 1) minimize the objectives (number of switching operations and total resistive losses), 2) do not violate operational constraints, 3) do not violate the coordination interval, 4) are obtained in the shortest possible time. For this purpose, the tool was applied in case studies for four IEEE radial distribution test systems of 70, 84, 119 and 135 buses, in which the routine adequately indicated the violations in the operational and protection parameters of the radial distribution networks.Acesso AbertoSistema de distribuição radialTopologiaAlgoritmo evolutivo multi- objetivoNode-depth encodingRadial distribution systemTopologyMulti-objective evolutionary algorithmCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA::TRANSMISSAO DA ENERGIA ELETRICA, DISTRIBUICAO DA ENERGIA ELETRICATrabalho de Curso - Graduação - MonografiaAttribution-NonCommercial-NoDerivs 3.0 Brazil