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URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219
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Item 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 JuniorThe 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.Item 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 FOLADORThis 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.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 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 ReisThis 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.