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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Resultados da Pesquisa
Item PROJETO MULTICRITÉRIO DE FILTROS HARMÔNICOS PASSIVOS PARA INSTALAÇÕES INDUSTRIAIS UTILIZANDO TÉCNICAS DE INTELIGÊNCIA COMPUTACIONAL(Universidade Federal do Pará, 2013) LEITE, Jandecy Cabral; TOSTES, Maria Emília de LimaDue to the industrial growth in Northern Brazil, especially at the Manaus Industrial Pole (PIM), mathematical tools are needed to assist experts in selecting and sizing harmonic filters that neutralize the harmful effects of harmonics generated by nonlinear loads and ensure compliance with power quality standards. Additionally, passive harmonic filters (PHF) can act as reactive power compensators, achieving significant energy billing savings. This thesis develops a mathematical method and a computational tool for selecting the configuration and design parameters of PHFs in industrial systems, formulating the problem as a multi-objective optimization that considers both harmonic distortion reduction and the project's economic effectiveness, complying with Brazilian and international standards. The computational solution is based on the NSGA-II genetic algorithm, generating a Pareto front of optimal solutions that allow designers to select the most suitable option. The tool includes innovative features, such as automatic selection of filter configuration and number of branches, and considers various operational scenarios. Validation was performed through practical examples that demonstrated the advantages of the proposed method.Item Metodología propuesta para la optimización multicriterio mediante algoritmos genéticos en las aplicaciones industriales(INSTITUTO DE TECNOLOGIA, 2014) CASTRO, Andy Oliveira; BEZERRA, Ulysses Henrique; LEITE, Jandecy Cabral; AZEVEDO, Marcelo da Silva Sousa; José Antônio da Silva SouzaThis paper proposes a new methodology for multi-criteria optimization in modular chip mounters using the NSGA-II genetic algorithm. Fitness functions were modeled, and a multi-criteria optimization tool was created based on machine functions and constraints. The same approach can be applied to other types of machines to support decision-making in industrial environments, aiming at efficiency and cost reduction.Item Um Algoritmo Evolutivo para Aplicação na Compensação da Potência Reativa em Redes de Distribuição de Energia Elétrica(INSTITUTO DE TECNOLOGIA, 2017) AZEVEDO, Alysson Roberto; AZEVEDO, Manoel S. Santos; LEITE, Jandecy Cabral; BEZERRA, Ubiratan Holanda; ABRIL, Ignacio Pérez; Prof. Dr. Carlos Tavares da Costa JúniorThis article proposes the use of genetic algorithms for the multi-objective optimization of reactive power compensation in electric power distribution networks. The method aims to locate and size compensation units, such as capacitor banks and passive filters, to maximize economic benefits and maintain power quality indices according to Brazilian standards. The study includes the analysis of a real case in the Manaus Industrial Pole (PIM), demonstrating the approach's effectiveness in scenarios with low and high harmonic penetration.