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

Agora exibindo 1 - 10 de 61
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    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 Holanda
    The 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.
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    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 Lima
    Due 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.
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    UMA NOVA SOLUÇÃO PARA A OTIMIZAÇÃO DO DESPACHO ECONÔMICO E AMBIENTAL UTILIZANDO METAHEURÍSTICAS DA COMPUTAÇÃO BIO-INSPIRADA
    (Universidade Federal do Pará, 2016) NASCIMENTO, Manoel Henrique Reis; NUNES, Marcus Vinícius Alves
    Due to the significant industrial growth in Northern Brazil, especially at the Industrial Pole of Manaus (PIM), there has been an increased need for energy generation, which in this region is provided by thermoelectric plants (UTEs) in over 90% of its total. Thus, it became necessary to use computational tools that help specialists and operators make decisions about the optimal power dispatch, contemplating not only cost reduction but also reducing atmospheric pollution levels. This thesis presents a new solution proposal for the classic optimization problem of Economic Dispatch (ED) and Economic and Environmental Dispatch (EAD), using several Deterministic methods (Iteration Lambda, Quadratic Programming, Newton method) and Bio-Inspired Heuristic methods (Genetic Algorithms, Particle Swarm Optimization, Differential Evolution, Simulated Annealing, Grey Wolf Optimizer, and Artificial Bee Colony), as well as the Non-dominated Sorting Genetic Algorithm (NSGA-II and NSGA-III) for the EAD. The proposal includes shutting down generators with higher operating costs to reduce fuel costs and pollutant emissions like NOx and CO₂. The robustness of the methodology was validated with a set of ten generating units and three benchmark systems described in the literature, showing significant advantages of the new proposed solution.
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    METODOLOGIA DE PLANEJAMENTO PARA INSERÇÃO DE GERADORES FOTOVOLTAICOS EM REDES ELÉTRICAS ISOLADAS E SUPRIDAS POR GERADORES A DIESEL
    (Universidade Federal do Pará, 2013) GONÇALVES, Cláudio; VIEIRA, João Paulo Abreu
    Renewable energy sources based on photovoltaic generation (PVG) are promising energy alternatives to complement conventional, centralized power generation, as the diesel thermal plants supplying power to isolated grids in cities and remote locations in the Amazon Region. The allocation and sizing of generators for distributed generation application (DG) is a challenging problem, with technical and economic implications related to the planning, design and operation of these systems. Particularly, the PVG presents added difficulty as it is a function of environmental conditions, mainly temperature and solar radiation. This thesis presents an analytical methodology to allocate and size active power photovoltaic generation units with embedded DC/AC inverter (PVGI) to be integrated as concentrated or dispersed generation in isolated medium voltage electrical grids. The proposed methodology considers multiple objectives to be reached namely: improving the electrical grid voltage profile; reducing active power losses; and reducing the diesel generation participation, providing, this way, a reduction in diesel oil consumption and in the environmental pollution. The global obtained solution of the proposed method is a weighted commitment to these goals, presenting different weights according to priorities established in the electrical system under planning. To validate the proposed methodology, the IEEE 33 and 69 buses networks and an isolated real electrical system were modeled and simulated. The real electrical system is located in Aveiro City, in the Amazon region, Brazil. The simulation results obtained demonstrated that the proposed methodology is effective in providing a solution with significant improvement in voltage profile, active power losses reduction, and diesel generation participation reduction, according to viable technical and economic indicators to the PVGI integration in the isolated electrical grid.
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    Multicriteria design of passive harmonic filters for industrial installations using evolutionary computation techniques
    (INSTITUTO DE TECNOLOGIA, 2015) LEITE, Jandecy Cabral; ABRIL, Ignácio Perez; AZEVEDO, Manoel Socorro Santos; NASCIMENTO, Manoel Henrique Reis do; MORAES, Nadime Mustafa; REIS, Ana Maria; Profa. Dra. Maria Adrina Paixão de Souza da Silva.
    This article presents a mathematical method and a computational tool based on Evolutionary Computation (NSGA II) for the multicriteria design of passive harmonic filters in industrial electrical systems. Focused on the Industrial Pole of Manaus (PIM), the study frames the harmonic compensation design as a multi-objective optimization problem, balancing harmonic distortion reduction with economic viability under Brazilian energy tariff structures. The developed tool automatically selects filter configurations and parameters, incorporating standards such as PRODIST-Module 8 and IEEE 519-92. Results demonstrate the effectiveness of the approach.
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    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.
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    Proposal of Smart Grids in Communities of Amazonas State
    (INSTITUTO DE TECNOLOGIA, 2015) MACIEL, Lívia Guimarães; BENITEZ PINA, Israel Francisco; Jandecy Cabral Leite
    The purpose of this article is to discuss the potential and the importance of using renewable energy for communities in the State of Amazonas. It proposes the integration of multiple sources of power generation in hybrid systems to complement hydroelectric and thermoelectric generation, diversifying the electric park. A smart grid is proposed using the MaSE methodology for formal design and GHENeSys hierarchical Petri nets to study generation planning dynamics, aiming to increase efficiency and reduce system losses.
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    Study of Quality and Reliability of Welding Process Reflow Component Technology BGA
    (INSTITUTO DE TECNOLOGIA, 2015) COSTA, Robson Marques; LEITE, Jandecy Cabral; VIEIRA, Antonio da Silva; LOPES, Raimundo Valdan Pereira; FUJIYAMA, Roberto Tetsuo; Prof. Dr. Carlos Tavares da Costa Júnior
    This study analyzed the quality and reliability of the BGA component Reflow soldering process in notebook motherboard manufacturing. Using a qualitative-quantitative approach via case study methodology, cross-section and X-ray analyses were conducted to evaluate alignment, cracks, and voids. The findings confirmed compliance with international standards IPC-A-610E and IPC-7095B, indicating the process is reliable and cost-effective for industrial application.
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    Harmonic Impact analysis coming from the manufacturing processes of a Eletroeletrônica Industry Using KDD and Decision Trees
    (INSTITUTO DE TECNOLOGIA, 2015) NOGUEIRA, Rildo de Mendonça; OLIVEIRA, Edson Farias de; SILVA, Waterloo Ferreira da; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; SOARES, Thiago Mota; Profa. Dra. Maria Adrina Paixão de Souza da Silva.
    The study analyzes the impact of harmonic distortions generated by non-linear loads (computers, notebooks, and tablets) on the electrical grid of an electronics industry in Manaus. Using the KDD (Knowledge Discovery in Databases) methodology and decision trees, data were collected over a week at different points in the production process. The results identified that the 5th and 7th order harmonics, originating from the tablet production line, contributed the most to the total harmonic distortion of voltage (THDv) at the common coupling point (PCC). The decision tree technique proved effective in classifying and prioritizing distortion sources, aiding in decision-making for impact mitigation.
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    Industrial Multivariate Explorer: A solution with Matlab for time series mining
    (INSTITUTO DE TECNOLOGIA, 2015) VÁZQUEZ SEISDEDOS, Luis; AGUILERA CASTILLO, Alvaro; DIAZ MARTINEZ, David; RAMIS ROSALES, Rolando; RODRIGUEZ PEREZ, Jose Manuel; Prof. Dr. Carlos Tavares da Costa Júnior
    The design and features of a Matlab application supporting applied research in time series computing are presented. The tool enables visualization of up to eight signals, selection of short time windows, and computation of statistics that aid in static and dynamic modeling. It is an open application that allows the inclusion of new features and is exemplified using real-time series from a 250 MW thermal power plant and simulated data via Simulink.