945 resultados para electrical power conversion


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Unmanned air vehicles (UAVs) and micro air vehicles (MAVs) constitute unique application platforms for vibration-based energy harvesting. Generating usable electrical energy during their mission has the important practical value of providing an additional energy source to run small electronic components. Electrical energy can be harvested from aeroelastic vibrations of lifting surfaces of UAVs and MAVs as they tend to have relatively flexible wings compared to their larger counterparts. In this work, an electromechanically coupled finite element model is combined with an unsteady aerodynamic model to develop a piezoaeroelastic model for airflow excitation of cantilevered plates representing wing-like structures. The electrical power output and the displacement of the wing tip are investigated for several airflow speeds and two different electrode configurations (continuous and segmented). Cancelation of electrical output occurs for typical coupled bending-torsion aeroelastic modes of a cantilevered generator wing when continuous electrodes are used. Torsional motions of the coupled modes become relatively significant when segmented electrodes are used, improving the broadband performance and altering the flutter speed. Although the focus is placed on the electrical power that can be harvested for a given airflow speed, shunt damping effect of piezoelectric power generation is also investigated for both electrode configurations.

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Fault resistance is a critical component of electric power systems operation due to its stochastic nature. If not considered, this parameter may interfere in fault analysis studies. This paper presents an iterative fault analysis algorithm for unbalanced three-phase distribution systems that considers a fault resistance estimate. The proposed algorithm is composed by two sub-routines, namely the fault resistance and the bus impedance. The fault resistance sub-routine, based on local fault records, estimates the fault resistance. The bus impedance sub-routine, based on the previously estimated fault resistance, estimates the system voltages and currents. Numeric simulations on the IEEE 37-bus distribution system demonstrate the algorithm`s robustness and potential for offline applications, providing additional fault information to Distribution Operation Centers and enhancing the system restoration process. (C) 2011 Elsevier Ltd. All rights reserved.

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This work presents the development and implementation of an artificial neural network based algorithm for transmission lines distance protection. This algorithm was developed to be used in any transmission line regardless of its configuration or voltage level. The described ANN-based algorithm does not need any topology adaptation or ANN parameters adjustment when applied to different electrical systems. This feature makes this solution unique since all ANN-based solutions presented until now were developed for particular transmission lines, which means that those solutions cannot be implemented in commercial relays. (c) 2011 Elsevier Ltd. All rights reserved.

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Back in 1970s and 1980s, cogeneration plants in sugarcane mills were primarily designed to consume all bagasse, and produce steam and electricity to the process. The plants used medium pressure steam boilers (21 bar and 300 degrees C) and backpressure steam turbines. Some plants needed also an additional fuel, as the boilers were very inefficient. In those times, sugarcane bagasse did not have an economic value, and it was considered a problem by most mills. During the 1990s and the beginning of the 2000s, sugarcane industry faced an open market perspective, thus, there was a great necessity to reduce costs in the production processes. In addition, the economic value of by-products (bagasse, molasses, etc.) increased, and there was a possibility of selling electricity to the grid. This new scenario led to a search for more advanced cogeneration systems, based mainly on higher steam parameters (40-80 bar and 400-500 degrees C). In the future, some authors suggest that biomass integrated gasification combined cycles are the best alternative to cogeneration plants in sugarcane mills. These systems might attain 35-40% efficiency for the power conversion. However, supercritical steam cycles might also attain these efficiency values, what makes them an alternative to gasification-based systems. This paper presents a comparative thermoeconomic study of these systems for sugarcane mills. The configurations studied are based on real systems that could be adapted to biomass use. Different steam consumptions in the process are considered, in order to better integrate these configurations in the mill. (C) 2009 Elsevier Ltd. All rights reserved.

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As sociedades estatais s??o importantes organiza????es societ??rias, que podem servir ao administrador p??blico para a realiza????o de atividades econ??micas que configurem relevante interesse coletivo ou motivo de seguran??a nacional. Com a finalidade de adequarem-se aos limites de investimento p??blico e com vistas ao cumprimento do princ??pio da efici??ncia, elas podem utilizar-se de mecanismos societ??rios e contratuais de gest??o disponibilizados a empresas, sejam elas estatais ou privadas. Os movimentos societ??rios, os mecanismos de controle e partilha de controle e a ado????o das pr??ticas de governan??a corporativa s??o alternativas jur??dicas disponibilizadas aos administradores das empresas estatais. A an??lise do caso da Companhia Paranaense de Energia El??trica (Copel) ?? realizada no artigo com o prop??sito de auxiliar na visualiza????o da aplica????o de tais institutos.

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This paper is on the problem of short-term hydro scheduling (STHS), particularly concerning head-dependent reservoirs under competitive environment. We propose a novel method, based on mixed-integer nonlinear programming (MINLP), for optimising power generation efficiency. This method considers hydroelectric power generation as a nonlinear function of water discharge and of the head. The main contribution of this paper is that discharge ramping constraints and start/stop of units are also considered, in order to obtain more realistic and feasible results. The proposed method has been applied successfully to solve two case studies based on Portuguese cascaded hydro systems, providing a higher profit at an acceptable computation time in comparison with classical optimisation methods based on mixed-integer linear programming (MILP).

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O pinheiro tem um papel importante na ecologia e economia nacional. O Pinheiro sofre de uma praga severa, denominada por doença da murchidão dos pinheiros, causada pelo nemátodo da madeira do pinheiro (NMP). Apresenta-se como um verme microscópico, invertebrado, medindo menos de 1,5 mm de comprimento. O contágio entre árvores deve-se a vectores biologicamente conhecidos por longicórneo e capricórnio do pinheiro. Os produtores de madeira de pinho são desta forma obrigados a efectuar tratamentos térmicos (HT), de eliminação do NMP e dos seus vectores para que a exportação da madeira serrada cumpra com a norma NP 4487. De modo a manter a competitividade internacional das empresas nacionais, o impacto dos custos do HT deve ser minimizado. O objectivo desta dissertação é efectuar o estudo técnico-económico da implementação de um sistema de cogeração capaz produzir calor para efectuar o tratamento ao NMP e simultaneamente energia eléctrica para vender à rede pública. As receitas da venda de energia eléctrica poderão contribuir para a minimização dos custos do HT. Tendo em conta que os resíduos das serrações de madeira podem ser usados como combustível consideraram-se para avaliação duas tecnologias de cogeração, um sistema de turbina a vapor clássico (ciclo Rankine) e um sistema Organic Rankine Cycle (ORC), permitindo ambas a queima dos resíduos das serrações de madeira. No que diz respeito à avaliação económica, foi desenvolvido um simulador de tecnologia/modalidade de remuneração que efectua cálculos consoante as necessidades térmicas de cada produtor, a potência eléctrica a instalar e indicadores económicos, VAL, TIR e PAYBACK da instalação do sistema de cogeração. O simulador desenvolvido aplica a nova legislação que enquadra o sistema jurídico e remuneratório da cogeração (DL 23/2010), na qual se consideram duas modalidades, geral e especial. A metodologia desenvolvida foi aplicada num caso real de uma serração de madeira e os principais resultados mostram que as soluções apresentadas, turbina a vapor e sistema ORC, não apresentam viabilidade económica. Através da análise de sensibilidade, conclui-se que um dos factores que mais influência a viabilidade económica do projecto é o tempo de funcionamento reduzido. Sendo uma das soluções apresentada a criação de uma central de cogeração para vários produtores de madeira. Uma possível solução para o problema do reduzido tempo de utilização seria o fornecimento do serviço de tratamentos térmicos a outros produtores de paletes de madeira que não possuem estufa própria.

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This paper proposes a practical approach for profit-based unit commitment (PBUC) with emission limitations. Under deregulation, unit commitment has evolved from a minimum-cost optimisation problem to a profit-based optimisation problem. However, as a consequence of growing environmental concern, the impact of fossil-fuelled power plants must be considered, giving rise to emission limitations. The simultaneous address of the profit with the emission is taken into account in our practical approach by a multiobjective optimisation (MO) problem. Hence, trade-off Curves between profit and emission are obtained for different energy price profiles, in a way to aid decision-makers concerning emission allowance trading. Moreover, a new parameter is presented, ratio of change, and the corresponding gradient angle, enabling the proper selection of a compromise commitment for the units. A case study based on the standard IEEE 30-bus system is presented to illustrate the proficiency Of Our practical approach for the new competitive and environmentally constrained electricity supply industry.

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This paper is on the problem of short-term hydro scheduling, particularly concerning head-dependent reservoirs under competitive environment. We propose a new nonlinear optimization method to consider hydroelectric power generation as a function of water discharge and also of the head. Head-dependency is considered on short-term hydro scheduling in order to obtain more realistic and feasible results. The proposed method has been applied successfully to solve a case study based on one of the main Portuguese cascaded hydro systems, providing a higher profit at a negligible additional computation time in comparison with a linear optimization method that ignores head-dependency.

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In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn. (C) 2012 Elsevier Ltd. All rights reserved.

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In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience, weather information based on data mining, and simulation approaches. In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart ElectricVehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.

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This paper presents a new and efficient methodology for distribution network reconfiguration integrated with optimal power flow (OPF) based on a Benders decomposition approach. The objective minimizes power losses, balancing load among feeders and subject to constraints: capacity limit of branches, minimum and maximum power limits of substations or distributed generators, minimum deviation of bus voltages and radial optimal operation of networks. The Generalized Benders decomposition algorithm is applied to solve the problem. The formulation can be embedded under two stages; the first one is the Master problem and is formulated as a mixed integer non-linear programming problem. This stage determines the radial topology of the distribution network. The second stage is the Slave problem and is formulated as a non-linear programming problem. This stage is used to determine the feasibility of the Master problem solution by means of an OPF and provides information to formulate the linear Benders cuts that connect both problems. The model is programmed in GAMS. The effectiveness of the proposal is demonstrated through two examples extracted from the literature.

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Mestrado em Engenharia Química

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Dissertação de Mestrado em Engenharia e Gestão de Sistemas de Água.