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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2019 - 201912020 - 20231

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Assunto: search.filters.subject.Sistemas de Potência

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Agora exibindo 1 - 2 de 2
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    USO DE TÉCNICAS DE OTIMIZAÇÃO METAHEURISTICAS APLICADAS AO DESPACHO ECONÔMICO E AMBIENTAL DE USINAS TERMOELÉTRICAS E FOTOVOLTAICAS
    (Universidade Federal do Pará, 2023) Santos, Eliton Smith dos; NUNES, Marcus Vinicius Alves
    Economic Load Dispatch (ELD) aims at planning and operating Thermoelectric Power Plants (TPP) to meet energy demand at the lowest cost. However, traditional ELD does not consider environmental costs, which are crucial under current sustainability concerns. Thus, this thesis proposes the use of metaheuristic techniques — Ant Lion Optimizer (ALO), Dragonfly Algorithm (DA), and Differential Evolution (DE) — to optimize the Environmental Economic Dispatch (EED), integrating photovoltaic solar generation. The proposal includes an intelligent algorithm that adjusts TPP motor power based on demand, allowing the shutdown of less efficient motors and reducing emissions. Simulations performed in the MATLAB environment, with a hybrid model of six Generating Units (GU) and thirteen Solar Photovoltaic Plants (SPP), demonstrated that the DE technique yielded the best results, reducing fossil fuel consumption by 3.02% and atmospheric emissions by 1.42%.
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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.