98 resultados para Physical implementation
em Instituto Politécnico do Porto, Portugal
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The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.
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Mestrado em Engenharia Electrotécnica e de Computadores
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The IEEE 802.15.4/Zigbee protocols are a promising technology for Wireless Sensor Networks (WSNs). This paper shares our experience on the implementation and use of these protocols and related technologies in WSNs. We present problems and challenges we have been facing in implementing an IEEE 802.15.4/ZigBee stack for TinyOS in a two-folded perspective: IEEE 802.15.4/ZigBee protocol standards limitations (ambiguities and open issues) and technological limitations (hardware and software). Concerning the former, we address challenges for building scalable and synchronized multi-cluster ZigBee networks, providing a trade-off between timeliness and energy-efficiency. On the latter issue, we highlight implementation problems in terms of hardware, timer handling and operating system limitations. We also report on our experience from experimental test-beds, namely on physical layer aspects such as coexistence problems between IEEE 802.15.4 and 802.11 radio channels.
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Objectivo: Descrever a intervenção em fisioterapia aplicada num paciente com o diagnóstico de entorse da Tíbio-társica de grau III. Participantes e Métodos: Paciente que em 1 de Dezembro de 2009 na sequência de uma disputa de bola, sofreu uma entorse da tíbio-társica. Iniciou fisioterapia a 4 de Janeiro de 2010, tendo sido utilizadas para o tratamento técnicas de Mulligan, nomeadamente MWM, mobilização articular, reforço muscular e treino proprioceptivo. O tratamento foi realizado diariamente durante 6 semanas. Resultados: Após a aplicação das técnicas de Mulligan MWM na 1ªsemana, o perónio encontra-se devidamente reposicionado, no entanto o calcâneo ainda se encontra posteriorizado. No fim da 2ªsemana, a amplitude articular aumentou significativamente, aproximando-se dos valores do membro contralateral, verificouse um ganho de força muscular progressivo. Na 3ª e 4ª semana progrediu-se o tratamento em termos de fortalecimento muscular e treino proprioceptivo. Na 5ª semana apresentava amplitudes de movimento de 17º de dorsiflexão, 43º de flexãoplantar, 15º de eversão e 18º de inversão. Relativamente à força, o músculo tibial anterior apresentava um grau 5 de força, longo e curto peronial e flexores plantares grau 4+. No fim de 6 semanas, terminada a sua recuperação encontrava-se sem qualquer limitação funcional, igual força muscular bilateral e proprioceptividade normal. Conclusão: Foi salientado o processo de raciocínio clínico desenvolvido pelo fisioterapeuta ao longo das 6 semanas de intervenção: a recolha e interpretação dos dados da história, levantamento das primeiras hipóteses, testes dessas hipóteses no exame objectivo, estabelecimento de um diagnóstico funcional e construção e implementação de um plano de intervenção com a colaboração do utente que permitiram uma recuperação funcional que foi de encontro aos objectivos traçados.
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Os hábitos de actividade física (AF) podem-se alterar consideravelmente durante a gravidez. O sucesso das estratégias que visam promover a AF das gestantes depende do modelo motivacional implementado. Objectivo: Determinar se o Modelo Transteórico de Mudança de Comportamento (MTMC) utilizado no Projecto “Mães em Movimento” é eficaz na promoção de mudança de comportamentos nas grávidas no sentido de aumentar os níveis de AF. Metodologia: Foi realizado um estudo, experimental do tipo Intervenção Comunitária, numa amostra consecutiva constituída por 20 grávidas que faziam Preparação para a Parentalidade (PP) em dois Centros de Saúde. O grupo experimental, constituído por 10 grávidas, além da preparação, participou no projecto “Mães em Movimento” baseado no MTMC. O grupo de controlo seguiu o programa de PP. Os instrumentos utilizados para 1ª avaliação foram: o Questionário de Actividade Física para Gestantes, a Escala de Estados de Mudança de Comportamento para o Exercício, o Questionário de Auto-Eficácia, o Behavioural Regulation in Exercise Questionnaire-2 e um Questionário de Hábitos e Conhecimentos. Resultados: Após a implementação do projecto “Mães em Movimento” no grupo experimental, 100% das mulheres referiram praticar AF regular. O gasto energético semanal em actividades desportivas/exercício aumentou aproximadamente 4 vezes (p=0,002) desde a 1ª avaliação até à 2ª avaliação. Verificou-se uma tendência de deslocação dos estadios de mudança de comportamento inactivos para os activos (p=0,007) e a motivação intrínseca aumentou significativamente (p=0,018). Observou-se, também, um aumento dos conhecimentos relativos a diversas dimensões da AF na gravidez (p=0,002). Conclusão: Neste estudo, o MTMC revelou-se um modelo eficaz na promoção de hábitos de AF em grávidas, realçando que o sucesso da mudança de comportamento é influenciado pela motivação individual, pelo empowerment (transferência de conhecimentos e competências) e pelas oportunidades criadas.
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Trabalho de Projecto para a obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Armindo Licínio da Silva Macedo
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The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.
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Although we have many electric devices at home, there are just few systems to evaluate, monitor and control them. Sometimes users go out and leave their electric devices turned on what can cause energy wasting and dangerous situations. Therefore most of the users may want to know the using states of their electrical appliances through their mobile devices in a pervasive way. In this paper, we propose an Intelligent Supervisory Control System to evaluate, monitor and control the use of electric devices in home, from outside. Because of the transferring data to evaluate, monitor and control user's location and state of home (ex. nobody at home) may be opened to attacks leading to dangerous situations. In our model we include a location privacy module and encryption module to provide security to user location and data. Intelligent Supervising Control System gives to the user the ability to manage electricity loads by means of a multi-agent system involving evaluation, monitoring, control and energy resource agents.
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Cyber-Physical Intelligence is a new concept integrating Cyber-Physical Systems and Intelligent Systems. The paradigm is centered in incorporating intelligent behavior in cyber-physical systems, until now too oriented to the operational technological aspects. In this paper we will describe the use of Cyber-Physical Intelligence in the context of Power Systems, namely in the use of Intelligent SCADA (Supervisory Control and Data Acquisition) systems at different levels of the Power System, from the Power Generation, Transmission, and Distribution Control Centers till the customers houses.
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This paper presents a new architecture for the MASCEM, a multi-agent electricity market simulator. This is implemented in a Prolog which is integrated in the JAVA program by using the LPA Win-Prolog Intelligence Server (IS) provides a DLL interface between Win-Prolog and other applications. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets.
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Currently, power systems (PS) already accommodate a substantial penetration of distributed generation (DG) and operate in competitive environments. In the future, as the result of the liberalisation and political regulations, PS will have to deal with large-scale integration of DG and other distributed energy resources (DER), such as storage and provide market agents to ensure a flexible and secure operation. This cannot be done with the traditional PS operational tools used today like the quite restricted information systems Supervisory Control and Data Acquisition (SCADA) [1]. The trend to use the local generation in the active operation of the power system requires new solutions for data management system. The relevant standards have been developed separately in the last few years so there is a need to unify them in order to receive a common and interoperable solution. For the distribution operation the CIM models described in the IEC 61968/70 are especially relevant. In Europe dispersed and renewable energy resources (D&RER) are mostly operated without remote control mechanisms and feed the maximal amount of available power into the grid. To improve the network operation performance the idea of virtual power plants (VPP) will become a reality. In the future power generation of D&RER will be scheduled with a high accuracy. In order to realize VPP decentralized energy management, communication facilities are needed that have standardized interfaces and protocols. IEC 61850 is suitable to serve as a general standard for all communication tasks in power systems [2]. The paper deals with international activities and experiences in the implementation of a new data management and communication concept in the distribution system. The difficulties in the coordination of the inconsistent developed in parallel communication and data management standards - are first addressed in the paper. The upcoming unification work taking into account the growing role of D&RER in the PS is shown. It is possible to overcome the lag in current practical experiences using new tools for creating and maintenance the CIM data and simulation of the IEC 61850 protocol – the prototype of which is presented in the paper –. The origin and the accuracy of the data requirements depend on the data use (e.g. operation or planning) so some remarks concerning the definition of the digital interface incorporated in the merging unit idea from the power utility point of view are presented in the paper too. To summarize some required future work has been identified.
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This paper studies Optimal Intelligent Supervisory Control System (OISCS) model for the design of control systems which can work in the presence of cyber-physical elements with privacy protection. The development of such architecture has the possibility of providing new ways of integrated control into systems where large amounts of fast computation are not easily available, either due to limitations on power, physical size or choice of computing elements.
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In the energy management of a small power system, the scheduling of the generation units is a crucial problem for which adequate methodologies can maximize the performance of the energy supply. This paper proposes an innovative methodology for distributed energy resources management. The optimal operation of distributed generation, demand response and storage resources is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The paper deals with a vision for the grids of the future, focusing on conceptual and operational aspects of electrical grids characterized by an intensive penetration of DG, in the scope of competitive environments and using artificial intelligence methodologies to attain the envisaged goals. These concepts are implemented in a computational framework which includes both grid and market simulation.
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Mestrado em Engenharia Electrotécnica e de Computadores
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Native agars from Gracilaria vermiculophylla produced in sustainable aquaculture systems (IMTA) were extracted under conventional (TWE) and microwave (MAE) heating. The optimal extracts from both processes were compared in terms of their properties. The agars’ structure was further investigated through Fourier transform infrared and NMR spectroscopy. Both samples showed a regular structure with an identical backbone, β-D-galactose (G) and 3,6-anhydro-α-L-galactose (LA) units; a considerable degree of methylation was found at C6 of the G units and, to a lesser extent, at C2 of the LA residues. The methylation degree in the G units was lower for MAEopt agar; the sulfate content was also reduced. MAE led to higher agar recoveries with drastic extraction time and solvent volume reductions. Two times lower values of [η] and Mv obtained for the MAEopt sample indicate substantial depolymerization of the polysaccharide backbone; this was reflected in its gelling properties; yet it was clearly appropriate for commercial application in soft-texture food products.