926 resultados para Active and Reactive Power


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The Brazilian relief, predominantly composed by small mountains and plateaus, contributed to formation of rivers with high amount of falls. With exception to North-eastern Brazil, the climate of this country are rainy, which contributes to maintain water flows high. These elements are essential to a high hydroelectric potential, contributing to the choice of hydroelectric power plants as the main technology of electricity generation in Brazil. Though this is a renewable source, whose utilized resource is free, dams must to be established which generates a high environmental and social impact. The objective of this study is to evaluate the impact caused by these dams through the use of environmental indexes. These indexes are ratio formed by installed power with dam area of a hydro power plant, and ratio formed by firm power with this dam area. In this study, the greatest media values were found in South, Southeast, and Northeast regions respectively, and the smallest media values were found in North and Mid-West regions, respectively. The greatest encountered media indexes were also found in dams established in the 1950s. In the last six decades, the smallest indexes were registered by darns established in the 1980s. These indexes could be utilized as important instruments for environmental impact assessments, and could enable a dam to be established that depletes an ecosystem as less as possible.

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1. 1. The onset of or reactivation from aestivation in the earthworm Glossoscolex paulistus were dependent upon soil moisture. No evidence of temperature effect in the process was found either in field or laboratory data. 2. 2. Oxygen uptake measured in active and aestivating groups revealed remarkable reduction for aestivating earthworms at various temperatures studied. 3. 3. No evidences of temperature compensation in oxygen uptake was found in both groups of earthworms, indicating that reduction in oxygen uptake is the only adaptation for the aestivating G. paulistus. © 1985.

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This work uses a monitoring system based on a PC platform, where the acoustic emission and electric power signals generated during the grinding process are used to investigate superficial burning occurrence in a surface grinding operation using two types of steel, three grinding conditions and an Al203 vitrified grinding wheel. Acoustic emission signals on the workpiece and grinding power were measured during a surface plunge operation until the grinding burn happened. From the results the standard deviation of the acoustic emission signal and the maximum electric power were calculated for each grinding pass. The proposed DPO parameter is the product between the power level and acoustic emission standard deviation. The results show that both signals can be used for burning detection, and the parameter DPO is the best indicator for the burning studied in this work. This can be explained by the high dispersion of the acoustic emission RMS level associated to the high power consumption when the grinding wheel lose its sharpness.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia Elétrica - FEIS

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Nesta tese e realizada a investigação experimental de uma estratégia de controle LPV (do inglês, linear parameter varying) aplicada ao amortecimento de oscilações eletromecânicas em sistemas elétricos de potencia. O estudo foi realizado em um modelo de sistema de potencia em escala reduzida de 10kVA, cuja configuração e do tipo maquina interligada a uma barra infinita, alem de testes em campo em uma unidade geradora de 350 MVA da Usina Hidrelétrica de Tucuruvi. Primeiramente, foi desenvolvido e testado computacionalmente um conjunto de rotinas para analise e síntese de controlador amortecedor do tipo LPV, bem como para identificação de modelos LPV da planta. Os coeficientes do controlador amortecedor LPV, no caso um Estabilizador de Sistemas de Potencia (ESP), dependem do valor de uma variável de operação selecionada que, neste estudo, foram as potencias ativa (P) e reativa (Q) nos terminais da unidade geradora. Para fins de projeto, a dinâmica da planta foi representada através de um modelo ARX LPV, o qual foi estimado a partir de dados coletados experimentalmente na planta, para uma ampla faixa de condições operacionais. A partir do modelo LPV da planta, os valores dos parâmetros do ESP LPV foram determinados via um problema de otimização convexa, na forma de uma LMI parametrizada (PLMI). A solução da PLMI e obtida a partir de uma relaxação via decomposição em soma de quadrados. O ESP LPV foi projetado de modo a garantir a estabilidade e o desempenho do sistema para uma ampla faixa de condições operacionais da planta, o que geralmente não e possível de obter com controladores convencionais a parâmetros fixos. A lei de controle amortecedor do ESP LPV foi implementada em um sistema embarcado baseado em um controlador digital de sinais. Os resultados experimentais mostraram um excelente desempenho do ESP LPV no amortecimento de oscilações eletromecânicas, tanto no sistema de potencia em escala reduzida, quanto em uma unidade geradora da UHE de Tucurui.

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Esta dissertação apresenta uma metodologia baseada em algoritmo genético (AG) para determinar modelos dinâmicos equivalentes de parques eólicos com geradores de indução em gaiola de esquilo ( GIGE) e geradores de indução duplamente alimentados ( GIDA), apresentando parâmetros elétricos e mecânicos distintos. A técnica se baseia em uma formulação multiobjetiva solucionada por um AG para minimizar os erros quadráticos das potências ativa e reativa entre modelo de um único gerador equivalente e o modelo do parque eólico investigado. A influência do modelo equivalente do parque eólico no comportamento dinâmico dos geradores síncronos é também investigada por meio do método proposto. A abordagem é testada em um parque eólico de 10MW composto por quatro turbinas eólicas ( 2x2MW e 2x3MW), consistindo alternadamente de geradores GIGE e GIDA interligados a uma barra infinita e posteriormente a rede elétrica do IEEE 14 barras. Os resultados obtidos pelo uso do modelo dinâmico detalhado para a representação do parque eólico são comparados aos do modelo equivalente proposto para avaliar a precisão e o custo computacional do modelo proposto.

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Pós-graduação em Engenharia Elétrica - FEB

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Both Semi-Supervised Leaning and Active Learning are techniques used when unlabeled data is abundant, but the process of labeling them is expensive and/or time consuming. In this paper, those two machine learning techniques are combined into a single nature-inspired method. It features particles walking on a network built from the data set, using a unique random-greedy rule to select neighbors to visit. The particles, which have both competitive and cooperative behavior, are created on the network as the result of label queries. They may be created as the algorithm executes and only nodes affected by the new particles have to be updated. Therefore, it saves execution time compared to traditional active learning frameworks, in which the learning algorithm has to be executed several times. The data items to be queried are select based on information extracted from the nodes and particles temporal dynamics. Two different rules for queries are explored in this paper, one of them is based on querying by uncertainty approaches and the other is based on data and labeled nodes distribution. Each of them may perform better than the other according to some data sets peculiarities. Experimental results on some real-world data sets are provided, and the proposed method outperforms the semi-supervised learning method, from which it is derived, in all of them.

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Biological activities of flavonoids have been extensively reviewed in literature. The biochemical profile of afzelin, kaempferitrin, and pterogynoside acting on reactive oxygen species was investigated in this paper. The flavonoids were able to act as scavengers of the superoxide anion, hypochlorous acid and taurine chloramine. Although flavonoids are naturally occurring substances in plants which antioxidant activities have been widely advertised as beneficial, afzelin, kaempferitrin, and pterogynoside were able to promote cytotoxic effect. In red blood cells this toxicity was enhanced, depending on flavonoids concentration, in the presence of hypochlorous acid, but reduced in the presence of 2,20 -azo-bis(2-amidinopropane) free radical. These flavonoids had also promoted the death of neutrophils, which was exacerbated when the oxidative burst was initiated by phorbol miristate acetate. Therefore, despite their well-known scavenging action toward free radicals and oxidants, these compounds could be very harmful to living organisms through their action over erythrocytes and neutrophils.