Artigos

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219

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Agora exibindo 1 - 6 de 6
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    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 Junior
    The 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.
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    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.
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    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 FOLADOR
    This 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.
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    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 Junior
    This 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.
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    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.
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    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 Reis
    This 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.