73 resultados para MPPT


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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

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Ao longo dos últimos anos a indústria microelectrónica tem evoluído no sentido de reduzir o consumo energético dos seus dispositivos no sentido de estes serem alimentados por fontes energéticas diversas, nomeadamente fontes renováveis. A crescente demanda por componentes energeticamente eficientes e pela miniaturização dos componentes eletrónicos exigem a conceção de fontes de alimentação com potência reduzida na ordem das dezenas de μW ás centenas de mW. Atualmente, com os crescentes avanços tecnológicos é possível obter componentes energéticamente eficientes e com tamanhos reduzidos capazes de colmatar as restrições energéticas das mais variadas aplicações. A utilização de fontes energia elétrica que tirão proveito da energia existente no meio onde se inserem os diversos dispositivos eletrónicos ou simplesmente para recarregar as baterias, apresenta-se como um dos principais objetivos a alcançar. Entre todas as energias renováveis, a energia fotovoltaica surge como umas das que proporciona um maior potencial. A sua disponibilidade global e os constantes desenvolvimentos tecnológicos no âmbito do fotovoltaico permitem o desenvolvimento de sistemas de alimentação com rendimento energético cada vez mais elevado. A presente dissertação tem como objetivo o estudo, a simulação e implementação de um conversor CC-CC, step-up, com algoritmo de controlo MPPT integrado designado por método de correlação de ripple (Ripple Correlation Control – RCC), para aplicações de baixa potência na ordem das dezenas de μW às centenas de mW. Desenvolveu-se um conversor CC-CC, autónomo, para carregamento de baterias com recurso a painéis fotovoltaicos, como fonte de energia, de forma contínua mesmo em situações de baixa luminosidade. Um circuito de gestão de energia devidamente dimensionado foi implementado com recurso a um algoritmo de procura do ponto de máxima potência (Maximum Power Point Tracking – MPPT). O objetivo desta implementação é extrair a máxima potência disponível da fonte de energia elétrica, neste caso o painel fotovoltaico, independentemente das condições meteorológicas e da potência requerida pela carga, sendo o excesso de energia redirecionado para a bateria. Nesta dissertação apresentam-se os resultados das simulações, assim como os resultados experimentais de todos os circuitos desenvolvidos de forma a validar todo o sistema implementado.

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Electrical energy from photovoltaic panels (PV) has became an increasing viable alternative because of the great concern for environmental preservation and the possibility of the reduction of the conventional fuels, and this natural energy source is free, abundant and clean. In addition, Brazil is a privileged country because of the high levels of irradiation throughout its territory all over the year. Thus the exploitation of the energy from PV is one of the best alternatives to overcome the supply electrical energy issues. However, nowadays the energy conversion efficiency is low and the initial costs are high for these energy systems. Therefore, in order to increase the efficiency of these systems the extraction of the maximum power point (MPP) from PV is extremely necessary, and it is done using the maximum power point tracking (MPPT) techniques. The MPP of the PV varies non linearly with the environmental conditions and several MPPT techniques are available in literature, and this paper presents a careful comparison among the most usual techniques, doing meaningful comparisons with respect to the amount of energy extracted, PV voltage ripple, dynamic response and use of sensors, considering that the models are implemented via MatLab/Simulink®. © 2010 IEEE.

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This paper presents a careful evaluation among the most usual MPPT (Maximum Power Point Tracking) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel, PV voltage ripple, dynamic response and use of sensors. Firstly, the MPPT and boost converter models were implemented via MatLab/Simulink®, and after a DC to DC boost converter, digitally controlled, was implemented and connected to an Agilent Solar Array simulator, in order to validate the simulation results. The algorithms are digitally developed and the main experimental results are also presented from the implemented prototype. Furthermore, the experimental dynamic results and the computed tracking factors are presented. © 2011 IEEE.

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This paper presents a careful evaluation among the most usual MPPT techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel, PV voltage ripple, dynamic response and use of sensors, considering that the models are first implemented via MatLab/Simulink®, and after a digitally controlled boost DC-DC converter was implemented and connected to an Agilent Solar Array simulator in order to verify the simulation results. The prototype was built, the algorithms are digitally developed and the main experimental results are also presented, including dynamic responses and the experimental tracking factor (TF) for the analyzed MPPT techniques. © 2011 IEEE.

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This paper presents the analysis of some usual MPPT (Maximum Power Point Tracking) strategies intended for small wind energy conversion (up to 1kW) based on permanent magnet synchronous generators (PMSG), considering the stand-alone application for a novel buck-boost integrated inverter. Each MPPT method is analytically introduced and then it is simulated using MatLab/Simulink considering standard conditions of wind and also commercially available turbines and generators. The extracted power in each case is compared with the maximum available power, so the tracking factor is calculated for each method. Thus, the focus is on the application to improve the efficiency of stand-alone wind energy conversion systems (WECS) with battery chargers and AC load supplied by inverter. Therefore, for this purpose a novel single phase buck-boost integrated inverter is introduced. Finally, the main experimental results for the introduced inverter are presented. © 2011 IEEE.

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This paper presents evaluations among the most usual maximum power point tracking (MPPT) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor (TF)] in relation to the available power, PV voltage ripple, dynamic response, and use of sensors. Using MatLab/Simulink and dSPACE platforms, a digitally controlled boost dc-dc converter was implemented and connected to an Agilent Solar Array E4350B simulator in order to verify the analytical procedures. The main experimental results are presented for conventional MPPT algorithms and improved MPPT algorithms named IC based on proportional-integral (PI) and perturb and observe based on PI. Moreover, the dynamic response and the TF are also evaluated using a user-friendly interface, which is capable of online program power profiles and computes the TF. Finally, a typical daily insulation is used in order to verify the experimental results for the main PV MPPT methods. © 2012 IEEE.

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This paper presents one proposal of the energy management's model system using photovoltaic panels. The module proposed seeks to monitor photovoltaic panels, which have intermittency in power generation caused by environmental or load conditions, in order to control the coupling between the panel and the load - through the charge controller, of aiming that the panel's operation will be always on the maximum power transfer point as possible. For this, it used the maximum power point tracking technique - MPPT, implemented in LabVIEW software, also utilizing the data acquisition card NI myDAQ. In addition, it was implemented the controller access remote module, from the sharing of network data, so the panels performance can be through a tablet, monitored and controlled with no need for direct contact with the Supervisory server

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This paper presents one proposal of the energy management's model system using photovoltaic panels. The module proposed seeks to monitor photovoltaic panels, which have intermittency in power generation caused by environmental or load conditions, in order to control the coupling between the panel and the load - through the charge controller, of aiming that the panel's operation will be always on the maximum power transfer point as possible. For this, it used the maximum power point tracking technique - MPPT, implemented in LabVIEW software, also utilizing the data acquisition card NI myDAQ. In addition, it was implemented the controller access remote module, from the sharing of network data, so the panels performance can be through a tablet, monitored and controlled with no need for direct contact with the Supervisory server

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Studio, progettazione e realizzazione di un regolatore di carica per batterie al piombo gel, con algoritmo mppt, per applicazioni fotovoltaiche in isola

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Studio di diversi algoritmi MPPT; creazione di un modello realistico di pannelli fotovoltaici in Simulink e simulazione di tre algoritmi sottoposti a 5 diverse condizioni operative ciascuno.