Navegando por Autor "BRITO JÚNIOR, Jorge de Almeida"

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Estudo da Qualidade de Energia Elétrica com Distorções Harmônicas e o Fator de Potência através de um Sistema com Lógica Fuzzy
(Universidade Federal do Pará, 2011) BRITO JÚNIOR, Jorge de Almeida; COSTA JÚNIOR, Carlos Tavares da
This research aims to present a study about a three-phase low voltage harmonic distortion and power factor system, through the application of fuzzy logic, reducing consequences such as losses in installations, voltage drops, under-utilized capacity, and optimizing the use of electricity, bringing benefits to both companies and electricity suppliers.
Lógica fuzzy aplicada ao estudo da qualidade de energia elétrica em um sistema com distorções harmônicas através do fator de potência
(INSTITUTO DE TECNOLOGIA, 2010) BRITO JÚNIOR, Jorge de Almeida; LEITE, Jandercy Cabral; COSTA JÚNIOR, Carlos Tavares da; TORRES, Maria Emília de Lima; MAGALHÃES, Edilson Marques
This paper presents the study of a low-voltage three-phase system with harmonic distortion using fuzzy logic applied to the power factor. The objective is to reduce losses in the installation, voltage drops, and underutilized capacity, optimizing electricity usage and providing benefits to both the company and the utility.
SOLUÇÃO PARA O DESPACHO ECONÔMICO AMBIENTAL DE UM SISTEMA DE GERAÇÃO TÉRMICA POR RECOZIMENTO SIMULADO
(Universidade Federal do Pará, 2018) BRITO JÚNIOR, Jorge de Almeida; NUNES, Marcus Vinícius Alves
In recent years, population and government concerns about environmental protection have increased, while the use of fossil fuels for electricity generation remains high due to their availability and the consolidated technology of thermal plants. In this context, it has become common to adopt methodologies to optimize thermoelectric plant operations, considering both fuel costs and pollutant emissions. This PhD thesis aims to apply multiobjective optimization to the environmental economic dispatch (DEA) of thermal plants using simulated annealing, comparing the obtained results with other metaheuristic techniques. This tool was applied with a fitness function involving two objectives — cost and emissions — to find the optimal solution, taking into account the shutdown of less efficient engines, thus ensuring the reduction of financial costs and pollution.