Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219
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Item Harmonic Impact analysis coming from the manufacturing processes of a Eletroeletrônica Industry Using KDD and Decision Trees(INSTITUTO DE TECNOLOGIA, 2015) NOGUEIRA, Rildo de Mendonça; OLIVEIRA, Edson Farias de; SILVA, Waterloo Ferreira da; SANTANA, Ádamo L.; TOSTES, Maria Emília de Lima; SOARES, Thiago Mota; Profa. Dra. Maria Adrina Paixão de Souza da Silva.The study analyzes the impact of harmonic distortions generated by non-linear loads (computers, notebooks, and tablets) on the electrical grid of an electronics industry in Manaus. Using the KDD (Knowledge Discovery in Databases) methodology and decision trees, data were collected over a week at different points in the production process. The results identified that the 5th and 7th order harmonics, originating from the tablet production line, contributed the most to the total harmonic distortion of voltage (THDv) at the common coupling point (PCC). The decision tree technique proved effective in classifying and prioritizing distortion sources, aiding in decision-making for impact mitigation.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 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 JuniorThis 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.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.Item Avaliação de impactos harmônicos na rede elétrica através dos indicadores THD e Fator de Potência utilizando Lógica Fuzzy(Instituto de Tecnologia, 2013) GONÇALVES, Benevaldo Pereira; BRITO JUNIOR, Jorge Almeida; LEITE, Jandecy Cabral; COSTA JUNIOR, Carlos Tavares da; TOSTES, Maria Emilia de Lima; CUNHA, Edinaldo José de SousaThe study proposes an analysis of power quality in low-voltage three-phase systems using THD (Total Harmonic Distortion) and Power Factor indicators, based on a Fuzzy inference system. The method integrates expert knowledge and current standards to classify harmonic distortions and energy efficiency, avoiding manual regulation checks. Results demonstrate the system's effectiveness in identifying critical conditions, such as high THD and low Power Factor, recommending corrective actions.