Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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Assunto: search.filters.subject.Distribuição

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Agora exibindo 1 - 2 de 2
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    Análise de Impactos Harmônicos em Rede de Distribuição de Energia Elétrica de Média Tensão Utilizando Técnicas de Inteligência Computacional
    (Instituto de Tecnologia, 2018) Rivanildo Duarte Almeida; Jandecy Cabral Leite
    The growing demand for electrical energy and the increased use of non-linear loads in distribution systems have intensified the generation of harmonic distortions, compromising the quality of the energy supplied. This work presents an analysis of the harmonic impacts on medium-voltage electrical energy distribution networks, using computational intelligence techniques for modeling, simulation and diagnosis. Methods based on artificial neural networks and genetic algorithms were applied to identify and mitigate harmonic distortions, providing an efficient and automated approach for electrical energy quality control. The results demonstrate the feasibility of applying these techniques, evidencing improvements in the identification of distortions and in the definition of strategies to minimize their adverse effects on the electrical system.
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    Sistema Automático de Balanceamento de Unidades Consumidoras Monofásicas Conectadas na Rede de Distribuição de Baixa Tensão​
    (Instituto de Tecnologia, 2018) Alex Sander Leocádio Dias; Manoel Henrique Reis Nascimento
    The dissertation presents an automatic system for load balancing in single-phase consumer units connected to the low-voltage distribution network. The objective is to minimize imbalances between phases, reducing technical losses and improving the efficiency of the electrical system. To this end, an approach based on fuzzy logic is used, which allows real-time decision-making to redistribute loads between phases. The study includes simulations and tests in a controlled environment, demonstrating the effectiveness of the proposed method in optimizing load balancing. The results indicate that the system can significantly contribute to improving the quality of the electrical energy supplied, reducing voltage variations and increasing the useful life of the network equipment.