948 resultados para simulação computacional
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In an ever more competitive environment, power distribution companies must satisfy two conflicting objectives: minimizing investment costs and the satisfaction of reliability targets. The network reconfiguration of a distribution system is a technique that well adapts to this new deregulated environment for it allows improvement of reliability indices only opening and closing switches, without the onus involved in acquiring new equipment. Due to combinatorial explosion problem characteristic, in the solution are employed metaheuristics methods, which converge to optimal or quasi-optimal solutions, but with a high computational effort. As the main objective of this work is to find the best configuration(s) of the distribution system with the best levels of reliability, the objective function used in the metaheuristics is to minimize the LOLC - Loss Of Load Cost, which is associated with both, number and duration of electric power interruptions. Several metaheuristics techniques are tested, and the tabu search has proven to be most appropriate to solve the proposed problem. To characterize computationally the problem of the switches reconfiguring was developed a vector model (with integers) of the representation of the switches, where each normally open switch is associated with a group of normally closed switches. In this model simplifications have been introduced to reduce computational time and restrictions were made to exclude solutions that do not supply energy to any load point of the system. To check violation of the voltage and loading criteria a study of power flow for the ten best solutions is performed. Also for the ten best solutions a reliability evaluation using Monte Carlo sequential simulation is performed, where it is possible to obtain the probability distributions of the indices and thus calculate the risk of paying penalty due to not meeting the goals. Finally, the methodology is applied in a real Brazilian distribution network, and the results are discussed.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Pós-graduação em Química - IQ
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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Engenharia Mecânica - FEG
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The brake system of a Formula SAE car has determinant character in the quality of the project. Any flaw in the design of the brakes, the vehicle is rejected for the competition. The project well done, and its smooth operation, depends on some variables that should be studied and linked to the brake components, as needed by the vehicle. After the calculations, the components were defined according to commercial availability. So it is interesting simulation of braking when the vehicle will be submitted before the implementation of the brake system, saving time and cost. This project also enable the comparison between components from different brands. This work shows the study of a method that would allow simulate and test the brake system in an upcoming project for a bench test
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This Bachelor’s Thesis of Bachelor of Computer Science defines a research and a network sensor simulation on non-planar surfaces . The report is composed of an introduction of the research, a theoretic study, a state of the art and a historic context of sensor network. The simulation consists of the formation of terrain, node’s random distribution and a production and a transmission of the node’s packages. Based on these three important topics , the exchange of information/packages between multiple nodes is through breadth-first search algorithm. The active nodes, node quantity and operation range are also defined in the program. After the program analysis the node activation, the packages are created and transmitted to the next node. This process occurs many times and help on the analysis of the sensor network on non-planar surfaces parameters
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The present work develops a model to simulate the dynamics of a quadcopter being controlled by a PD fuzzy controller. Initially is presented a brief history of quadcopters an introduction to fuzzy logic and fuzzy control systems. Afterwards is presented an overview of the quadcopter dynamics and the mathematical modelling development applying Newton-Euler method. Then the modelling are implemented in a Simulink model in addition to a PD fuzzy controller. A prototype proposition is made, by describing each necessary component to build up a quadcopter. In the end the results from the simulators are discussed and compared due to the discrepancy between the model using ideal sensor and the model using non-ideal sensors
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A protonterapia é um tipo de tratamento promissor quanto a diminuição de dose nos tecidos adjacentes ao tumor, devido às suas característica de deposição de energia ao interagir com a matéria. Para aumentar a acurácia do tratamento é necessário que as simulações sejam feitas a partir de um sistema de formação de imagem que utilize também um feixe de prótons, como a tomografia por feixe de prótons (pCT). Essa área atualmente está em desenvolvimento e se defronta com inúmeros problemas na formação de uma imagem precisa. Este trabalho tem o intuito de analisar a viabilidade de simulações computacionais para este tipo de feixe. O código computacional SRIM é um conjunto de programas que calcula o freamento e o alcance de íons ao interagir com a matéria. Esse cálculo baseia-se em ferramentas oriundas da mecânica quântica e também no método de Monte Carlo, para determinar, de modo probabilístico, trajetórias, colisões e ângulos. Foram realizadas simulações no programa SRIM para um alvo heterogêneo envolvendo água e osso cortical. Para analisar o comportamento do feixe transmitido, foram feitas alterações na posição e no tamanho da heterogeneidade. A partir dos dados obtidos pode-se obter valores médios, histogramas e gaussianas dos mesmos para cada simulação e tirar conclusões sobre a viabilidade e as dependências desse tipo de simulação
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The term refrigeration solar refers to any air conditioning system that uses solar energy as a primary energy source. The use of solar radiation for cooling purposes is divided according to their technological possibilities which are distinguished from one another as the way that energy is involved in the cycle, work or heat. The first case is related to vapor compression cycles, in which the work input is provided by the photovoltaic conversion of solar energy into electrical energy. In the second case, an absorption refrigeration cycle is used and the thermal energy collected from the solar radiation is provided at the generator of this cycle.. In this work a system with an absorption cycle using the pair BrLi-water, using solar energy as input is modeled. It is considered a simple refrigeration cycle whose the equations of mass and energy conservation in each component are developed in order to obtain an algebraic equation set and a simulation routine using the EES software. Although the simulation operates under certain specified thermal load it is possible to estimate the necessary areas of heat exchangers and solar collectors