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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2015 - 20193

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Assunto: search.filters.subject.Harmônicos

Resultados da Pesquisa

Agora exibindo 1 - 3 de 3
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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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    A otimização de filtros passivos de harmônicos em sistemas elétricos industriais
    (Universidade Federal do Pará, 2015) LEITE, Jandecy Cabral; ABRIL, Ignacio Pérez; AZEVEDO, Manuel Socorro Santos; TOSTES, Maria Emilia de Lima; BEZERRA, Ubiratan Holanda; NASCIMENTO, Manoel Henrique Reis
    This article presents an analysis of the evolution of optimization formulations for passive harmonic filters in industrial power systems, highlighting the transition from single-objective to multi-objective formulations. Optimization methods such as Sequential Quadratic Programming (SQP), Simulated Annealing (SA), Differential Evolution (DE), Artificial Neural Networks (ANN), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA), among others, are discussed. The work shows how formulations have evolved to better represent the complexity of the problem, considering more comprehensive objective functions and constraints.
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    Análise dos Impactos Harmônicos na Qualidade da Energia Elétrica Utilizando KDD – Estudo de Caso na Universidade Federal do Pará
    (Instituto de Tecnologia, 2019) SILVA, Waterloo Ferreira da; TOSTES, Maria Emilia de Lima
    This work presents an analysis of data related to Power Quality (PQ), focusing on the significant increase in harmonic distortion levels of current and voltage due to the growing use of non-linear loads and power electronics-based equipment. A methodology was developed using computational intelligence (CI) and data mining techniques to analyze data collected by power quality meters installed at the Federal University of Pará (UFPA). The KDD process was applied, including collection, selection, cleaning, integration, transformation, reduction, mining, interpretation, and evaluation of the data. The Naive Bayes classifier was used in the data mining phase, and the results demonstrated the applicability of the KDD process in the analysis of Total Harmonic Distortion of Voltage at the Common Coupling Point, which can be applied in commercial, residential, and industrial areas.