Navegando por Autor "ABRIL, Ignacio Pérez"
Agora exibindo 1 - 3 de 3
- Resultados por Página
- Opções de Ordenação
Item Frequency scan on a phase-coordinates frame for unbalanced systems(INSTITUTO DE TECNOLOGIA, 2012) LEITE, Jandecy Cabral; ABRIL, Ignacio Pérez; TOSTES, Maria Emília de Lima; OLIVEIRA, Roberto Célio Limão de; Prof Dr. Walter Barra JuniorThis paper presents a method for analyzing unbalanced electric networks using the frequency scan technique in a phase-coordinates frame. The developed model accurately represents unbalanced networks, such as distribution systems with asymmetric transformer banks, single-phase loads, and non-linear elements. The method is implemented in Matlab and tested on a four-wire delta system, demonstrating its effectiveness in identifying resonances and analyzing harmonics.Item Optimización Multiobjetivo de Filtros Pasivos(INSTITUTO DE TECNOLOGIA, 2012) LEITE, Jandecy Cabral; ABRIL, Ignacio Pérez; TOSTES, Maria Emilia de Lima; OLIVEIRA, Roberto Celio Limão de; MAGALHÃES, Edilson MarquesDifferent approaches have been used to formulate the problem of passive filter design, classified into single or multi-objective formulations. While previous contributions solve the multi-objective problem by minimizing a single objective function composed of a weighted sum of sub-objectives, this work uses the Non-dominated Sorting Genetic Algorithm (NSGA-II) to address the problem. The developed program determines the number, location, configuration, and parameters of passive filters required to obtain non-dominated optimal solutions, considering four predefined filter types. The solution of a practical example demonstrates the effectiveness of the proposed procedure.Item 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 JúniorThis 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.