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 OTIMIZAÇÃO MULTIOBJETIVO DA COMPENSAÇÃO DE POTÊNCIA REATIVA EM REDES DE DISTRIBUIÇÃO CONSIDERANDO RESTRIÇÕES DE DISTORÇÃO HARMÔNICA(Universidade Federal do Pará, 2014) AZEVEDO, Manoel Socorro Santos; BEZERRA, Ubiratan HolandaThe correct location of capacitor banks in electric power distribution networks aims to compensate for excess reactive power flow through transmission lines, reducing operational costs by decreasing energy losses and increasing active power transmission capacity while ensuring appropriate voltage and power factor levels. The proliferation of nonlinear loads has introduced new challenges due to the harmful effects of harmonics on power quality. This thesis develops a computational tool using computational intelligence techniques with genetic algorithms (GA) for multiobjective optimization of reactive power compensation in electric distribution networks, capable of optimally locating and sizing compensation units while achieving economic benefits and complying with Brazilian power quality standards. The approach considers the use of capacitor banks and harmonic filters and applies the NSGA-II algorithm to determine Pareto-optimal solutions. The methodology enables the determination of reactive power compensation considering harmonic presence while maintaining compliance with normative limits on harmonic distortion.Item Optimización Multiobjetivo de Filtros Pasivos(INSTITUTO DE TECNOLOGIA, 2012) LEITE, Jandecy Cabral; ABRIL, Ignacio Pérez; TOSTES, Maria Emilia de Lima; OLIVEIRA, Roberto Celio Limão de; MAGALHÃES, Edilson MarquesDifferent approaches have been used to formulate the problem of passive filter design, classified into single or multi-objective formulations. While previous contributions solve the multi-objective problem by minimizing a single objective function composed of a weighted sum of sub-objectives, this work uses the Non-dominated Sorting Genetic Algorithm (NSGA-II) to address the problem. The developed program determines the number, location, configuration, and parameters of passive filters required to obtain non-dominated optimal solutions, considering four predefined filter types. The solution of a practical example demonstrates the effectiveness of the proposed procedure.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.