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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11 resultados
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 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 Naive Bayes applied impacts harmonic analysis in industrial electrical systems(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Waterloo Ferreira da; NOGUEIRA, Rildo de Mendonça; CASTRO, Anderson; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; Profa. Dra. Maria Adrina Paixão de Souza da Silva.This paper applies the Naive Bayes data mining technique to analyze the impact of current harmonic distortion in an industrial facility located in the Manaus Industrial Pole. During a week-long measurement campaign, data were collected from circuits such as compressors, air conditioning systems, and tablet and notebook testing lines. Using tools like Weka and Genie, the analysis identified correlations between specific harmonic orders and increases in total harmonic distortion of voltage (THDv), with the 7th-order harmonic having the highest impact.Item Evolución of the passive harmonic filters optimization problem in industrial power systems(INSTITUTO DE TECNOLOGIA, 2014) CABRAL-LEITE, Jandecy; PÉREZ-ABRIL, Ignacio; SANTOS-AZEVEDO, Manoel Socorro; LIMA-TOSTES, Maria Emilia de; HOLANDA-BEZERRA, Ubiratan; Prof Dr. Walter Barra JuniorThe paper examines the evolution of optimization formulations for passive harmonic filters in industrial power systems, highlighting the shift from single-objective to multi-objective approaches. Methods such as sequential quadratic programming (SQP), genetic algorithms (GA), and particle swarm optimization (PSO) are reviewed, focusing on cost minimization, harmonic distortion reduction, and energy loss mitigation. The study demonstrates how multi-objective formulations provide more efficient and comprehensive solutions for complex power quality issues.Item Otimização Multiobjetivo de Filtros Harmônicos Passivos para Instalações Industriais Usando Técnicas de NSGA-II(INSTITUTO DE TECNOLOGIA, 2015) LEITE, Jandecy Cabral; ABRIL, Ignacio Perez; AZEVEDO, Manoel Socorro Santos; MEDEIROS, Adelson Bezerra de; NASCIMENTO, Manoel Henrique Reis; VALENZUELA, Walter Andres Vermehren; Prof. Dr. Waldinei Rosa Monteiro.This paper presents a mathematical method and a computational tool for the selection and sizing of passive harmonic filters in industrial systems using the NSGA-II genetic algorithm. The goal is to maximize the economic benefits of the project, minimize harmonic distortion in the PCC current and bus voltages, and comply with power quality standards (ANEEL and IEEE 519-92). The results demonstrate the method's effectiveness in determining filter parameters, selecting configurations, and addressing multiple operational scenarios.Item Planning Passive Filters using NSGA II for Industry Applications(INSTITUTO DE TECNOLOGIA, 2014) LEITE, Jandecy Cabral; SILVA, Waterloo Ferreira da; CASTRO, Anderson de Oliveira; NOGUEIRA, Rildo de Mendonça; AZEVEDO, Manoel Socorro Santos; Prof. Dra. ADRIANA RIBEIRO CARNEIRO FOLADORThis paper presents a multi-objective optimization approach for planning passive harmonic filters in industrial systems using the NSGA-II genetic algorithm. The method maximizes reactive power compensation benefits, minimizes harmonic distortion in the PCC current and bus voltages, and complies with power quality standards. The algorithm determines the filters' location, configuration, and parameters, demonstrating effectiveness in a practical example.Item Naive Bayes aplicados en el análisis de impactos armónicos en los sistemas eléctricos industriales(INSTITUTO DE TECNOLOGIA, 2015) SILVA, Waterloo Ferreira da; NOGUEIRA, Rildo de Mendonça; OLIVEIRA, Edson Farias de; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; SOARES, Thiago Mota; Prof Dr. Walter Barra JuniorThis paper presents an analysis of harmonic current impacts in an industrial facility in the Manaus Industrial Zone using Naive Bayes classification, a data mining technique. The study measures total harmonic distortion (THDv) and identifies which production processes contribute most to power quality issues, particularly due to non-linear loads like switch-mode power supplies. The methodology includes power quality measurements and statistical analysis with dedicated software.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.Item 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 LeiteThe 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.Item 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 ReisThis 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.