Navegando por Autor "BEZERRA, Ubiratan Holanda"

Agora exibindo 1 - 12 de 12

Barrido de Frecuencia en Coordenadas de Fase para Sistemas Desequilibrados
(INSTITUTO DE TECNOLOGIA, 2012) CABRAL LEITE, Jandeey; TOSTES, Maria Emilia de Lima; PÉREZ ABRIL, Ignacio; MEDEIROS, Adelson Bezerra de; AZEVEDO, Manoel Socorro Santos; BEZERRA, Ubiratan Holanda; MAGALHÃES, Edilson Marques
The paper develops a phase-coordinates model for analyzing unbalanced electrical networks, enabling the specification of single-phase or three-phase harmonic injections of any sequence. The model is applied to a four-wire delta system, demonstrating its ability to represent structural asymmetries and identify resonances at different frequencies.
Despacho Econômico e Ambiental de Energia Elétrica Usando Técnicas Computacionais em LabVIEW: Uma Abordagem Multiobjetivo para Sistemas de Geração Termelétrica
(INSTITUTO DE TECNOLOGIA, 2013) AZEVEDO, Raimundo Edney dos Santos; BEZERRA, Ubiratan Holanda; LEITE, Jandecy Cabral; AZEVEDO, Manoel Socorro Santos; NETO, Vilmar Domingos da Silva; MAGALHÃES, Edilson Marques
This paper proposes an analytical strategy based on mathematical models to address the load dispatch problem in thermal power plants, simultaneously considering economic and environmental criteria. Using the computational tool LabVIEW, the study develops a multi-objective model that minimizes operational costs and pollutant emissions (SO₂ and NOₓ) while meeting energy demand. The results demonstrate the approach's effectiveness across different load scenarios, highlighting solutions that balance energy efficiency and environmental impact reduction.
Methodology Proposal for Multicriteria Optimization Using NSGA-II in Industrial Applications
(INSTITUTO DE TECNOLOGIA, 2023) CASTRO, Anderson de Oliveira; BEZERRA, Ubiratan Holanda; LEITE, Jandecy Cabral; AZEVEDO, Manoel Socorro Santos.; Professor Dr. Bernardo Borges Pompeu Neto
The paper proposes a methodology for multicriteria optimization using the NSGA-II genetic algorithm in industrial applications, specifically in the assembly process of electronic components in surface mount technology (SMT) machines. The study addresses problems such as feeder arrangement and head routing, aiming to reduce the total cycle time. The methodology integrates known approaches and applies multi-objective optimization to enhance machine performance, with results validated in a real industrial environment.
MODELO MATEMÁTICO PARA OTIMIZAÇÃO MULTIOBJETIVO DO DESPACHO ECONÔMICO AMBIENTAL DE USINAS TÉRMICAS USANDO O NSGA-II
(Universidade Federal do Pará, 2017) MORAES, Nadime Mustafa; BEZERRA, Ubiratan Holanda
One of the priority tasks for thermoelectric plants is to supply the requested energy demand, ensuring the lowest possible cost. This task is especially important in the Northern Region of Brazil, particularly in the Manaus Industrial Hub (PIM), where much of the energy is supplied by Thermoelectric Power Plants (UTE). The selection of generators and their work regime is known as Economic Dispatch (DE). However, global concern about pollution caused by fossil fuels has made it essential to incorporate not only cost reduction but also the limitation of pollutant emissions in UTE operations. Thus, Environmental Economic Dispatch (DEA) emerges, aiming to simultaneously reduce costs and emissions. This thesis proposes an innovative mathematical model for DEA, using the NSGA-II evolutionary algorithm with two objective functions: fuel cost and amount of emissions. The model also introduces the Emissions Index, a new function to evaluate environmental contamination, considering the influence of the most harmful pollutants. The model was applied to engines of two UTEs in the city of Manaus, showing satisfactory results. The methodology proved robust when validated in two case studies: a set of ten thermal generating units and the IEEE 118-bus system.
Optimización del proceso de montaje de componentes SMD usando algoritmo genético multiobjetivo en la industria
(INSTITUTO DE TECNOLOGIA, 2014) CIRINO, Weverson dos Santos; MUSTAFE, Nadime; REIS, Ana; CASTRO, Anderson; BEZERRA, Ubiratan Holanda; Professora Dra. Fernanda Souza do Nascimento
The article proposes the optimization of the assembly sequence of SMD components on printed circuit boards using a multi-objective genetic algorithm (NSGA-II). The study was conducted in an electronics industry at the Manaus Industrial Hub, showing that the proposed algorithm outperformed the traditional machine inserter optimizer, reducing assembly time by 6 seconds per board and increasing productivity by 30%. The results highlight the effectiveness of NSGA-II in solving complex industrial optimization problems.
Otimização do Processo de Montagem de Componentes Eletrônicos de Superfície Utilizando Ferramenta Multicritério
(Universidade Federal do Pará, 2015) CASTRO, Anderson de Oliveira; BEZERRA, Ubiratan Holanda
The optimization problems of industrial process attracted many researches since the early 90's of the last century. The production volume increase, market competition increase and technological advances pushed the industries to seek for low cost and quick implementation solutions. One of the processes that became the core reason for increasing the sales volumes was the surface mount technology composed by printing, automated chip mounting and reflow oven which replaced the through hole technology. This research formulated a new point of view for optimization of modular chip mounters based on the already known feeder assignment problem and assembly head motion problem applying the global optimization using the non sorting dominance genetic algorithm the NSGAII in regard of the total cycle time reduction. The modeling of the fitness functions was presented and the multi criteria optimization tool was described using the machine functions and constraints. The same method could be applied to describe other type of machines to support future research.
Otimização Multicritério Para Despacho Econômico e Ambiental de Usinas Térmicas Utilizando Enxame de Partículas
(Universidade Federal do Pará, 2015) AZEVEDO, Raimundo Edney dos Santos; BEZERRA, Ubiratan Holanda
One of the main objectives in the generation of electricity in thermal systems is to minimize fuel consumption through optimal allocation of power generation for each generating unit via the economic dispatch, maintaining pollutant emissions within the limits of environmental licensing, whose integrated solution is subject to a set of equality and inequality constraints. Due to environmental concerns that were developed from the emissions produced by power plants that use fossil fuels, the economic dispatch that minimizes only the total fuel cost can no longer be considered a suitable option of dispatch. This paper therefore proposes a strategy based on mathematical models to solve the problem of load dispatch considering the economic problems and the emission of pollutants, whose premises are combined into an objective function and several electrical and emission constraints using the LabView software environment. The results achieved with the application of the procedures proposed here to a thermal power plant in the city of Manaus-AM appear quite positive towards providing dispatch solutions that proved sustainable with regard to the economic and environmental aspects considered.
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.
PRÉ-DESPACHO DE CARGA EM USINAS TERMOELÉTRICAS CONSIDERANDO A GESTÃO DA MANUTENÇÃO VIA LÓGICA FUZZY
(Universidade Federal do Pará, 2018) FONSECA JUNIOR, Milton; BEZERRA, Ubiratan Holanda
This thesis presents a new proposal for load pre-dispatch considering the technical conditions of the engines of thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence based on fuzzy logic. Diagnosis of the technical conditions of the engines is done using lubricant analysis, vibration analysis, and thermography. With this data and statistical analysis it is possible to predict when an engine can fail and consider this in the load pre-dispatch. To increase engine reliability and power supply, a Maintenance Management Program (MMP) was developed using management tools, applying only four TPM (Total Productive Maintenance) pillars and combining them with predictive maintenance and diagnostics, thus allowing the reduction of failures of plant equipment. Some results achieved after the implementation are: reduction of the annual maintenance cost, reduction of corrective maintenance, increase of the MTBF (Mean Time Between Failures), and decrease of MTTR (Mean Time To Repair) in all areas. In addition, the proposed pre-dispatch scheme ensures the demanded power with a high degree of reliability and quality.
Processamento Primário da Informação Gerada por Registradores de Perturbações
(INSTITUTO DE TECNOLOGIA, 2014) AZEVEDO, Manoel Socorro Santos; HORTA, Roberto Luis Ballesteros; LEITE, Jandecy Cabral; BEZERRA, Ubiratan Holanda; TOSTES, Maria Emília de Lima; MAGALHÃES, Edilson Marques
The study focuses on the primary processing of data generated by Digital Fault Recorders (DFRs) in electrical systems, aiming to streamline the analysis of oscillographic records for operators and specialists. Using LabVIEW and the COMTRADE standard, a modular software was developed for data acquisition, processing, storage, and interactive visualization. The system enables quick disturbance searches and lays the groundwork for implementing computational intelligence (CI) techniques to aid decision-making.
Sistema de Controle de Temperatura Digital como Ferramenta para a Eficiência Energética na Indústria
(INSTITUTO DE TECNOLOGIA, 2014) CIRINO, Weverson dos Santos; MUSTAFE, Nadime; REIS, Ana; CASTRO, Anderson; TANAKA, Gerdson; TOSTES, Maria Emília; BEZERRA, Ubiratan Holanda; TOSTES, Maria Emília; BEZERRA, Ubiratan Holanda
The study presents the implementation of a digital temperature control system based on hysteresis to optimize energy efficiency in a plastic injection industry. The results demonstrate a significant reduction in energy consumption, with annual savings of approximately R$ 47,166.86, along with improvements in temperature stability, reduced maintenance costs, and extended equipment lifespan. The system proved economically viable, with a return on investment in 39 days.
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 Júnior
This 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.