Teses

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/175

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2013 - 20142

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Tem arquivos: SimAssunto: search.filters.subject.Algoritmos genéticos

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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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.