834 resultados para Management control
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Energy Resources Management can play a very relevant role in future power systems in SmartGrid context, with high penetration of distributed generation and storage systems. This paper deals with the importance of resources management in incident situation. The system to consider a high penetration of distributed generation, demand response, storage units and network reconfiguration. A case study evidences the advantages of using a flexible SCADA to control the energy resources in incident situation.
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The introduction of electricity markets and integration of Distributed Generation (DG) have been influencing the power system’s structure change. Recently, the smart grid concept has been introduced, to guarantee a more efficient operation of the power system using the advantages of this new paradigm. Basically, a smart grid is a structure that integrates different players, considering constant communication between them to improve power system operation and management. One of the players revealing a big importance in this context is the Virtual Power Player (VPP). In the transportation sector the Electric Vehicle (EV) is arising as an alternative to conventional vehicles propel by fossil fuels. The power system can benefit from this massive introduction of EVs, taking advantage on EVs’ ability to connect to the electric network to charge, and on the future expectation of EVs ability to discharge to the network using the Vehicle-to-Grid (V2G) capacity. This thesis proposes alternative strategies to control these two EV modes with the objective of enhancing the management of the power system. Moreover, power system must ensure the trips of EVs that will be connected to the electric network. The EV user specifies a certain amount of energy that will be necessary to charge, in order to ensure the distance to travel. The introduction of EVs in the power system turns the Energy Resource Management (ERM) under a smart grid environment, into a complex problem that can take several minutes or hours to reach the optimal solution. Adequate optimization techniques are required to accommodate this kind of complexity while solving the ERM problem in a reasonable execution time. This thesis presents a tool that solves the ERM considering the intensive use of EVs in the smart grid context. The objective is to obtain the minimum cost of ERM considering: the operation cost of DG, the cost of the energy acquired to external suppliers, the EV users payments and remuneration and penalty costs. This tool is directed to VPPs that manage specific network areas, where a high penetration level of EVs is expected to be connected in these areas. The ERM is solved using two methodologies: the adaptation of a deterministic technique proposed in a previous work, and the adaptation of the Simulated Annealing (SA) technique. With the purpose of improving the SA performance for this case, three heuristics are additionally proposed, taking advantage on the particularities and specificities of an ERM with these characteristics. A set of case studies are presented in this thesis, considering a 32 bus distribution network and up to 3000 EVs. The first case study solves the scheduling without considering EVs, to be used as a reference case for comparisons with the proposed approaches. The second case study evaluates the complexity of the ERM with the integration of EVs. The third case study evaluates the performance of scheduling with different control modes for EVs. These control modes, combined with the proposed SA approach and with the developed heuristics, aim at improving the quality of the ERM, while reducing drastically its execution time. The proposed control modes are: uncoordinated charging, smart charging and V2G capability. The fourth and final case study presents the ERM approach applied to consecutive days.
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Clustering analysis is a useful tool to detect and monitor disease patterns and, consequently, to contribute for an effective population disease management. Portugal has the highest incidence of tuberculosis in the European Union (in 2012, 21.6 cases per 100.000 inhabitants), although it has been decreasing consistently. Two critical PTB (Pulmonary Tuberculosis) areas, metropolitan Oporto and metropolitan Lisbon regions, were previously identified through spatial and space-time clustering for PTB incidence rate and risk factors. Identifying clusters of temporal trends can further elucidate policy makers about municipalities showing a faster or a slower TB control improvement.
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Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores
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With advancement in computer science and information technology, computing systems are becoming increasingly more complex with an increasing number of heterogeneous components. They are thus becoming more difficult to monitor, manage, and maintain. This process has been well known as labor intensive and error prone. In addition, traditional approaches for system management are difficult to keep up with the rapidly changing environments. There is a need for automatic and efficient approaches to monitor and manage complex computing systems. In this paper, we propose an innovative framework for scheduling system management by combining Autonomic Computing (AC) paradigm, Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems
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A avaliação de empresas sempre constituiu um tema de elevada reflexão, sendo que vários especialistas tentam encontrar os modelos que melhor se adaptam a situações específicas e para as quais precisam de determinar um valor. No contexto empresarial português começa a ganhar significância a prática da gestão orientada para a criação de valor (Value-Based Management). O conceito de Value-Based Management assistiu a um particular desenvolvimento nos últimos 20 anos como resultado da globalização e desregulamentação dos mercados financeiros, dos avanços nas tecnologias de informação e do aumento da importância dos investidores institucionais. Vários analistas apresentaram evidência de que as empresas que adotam sistemas VBM melhoram o seu desempenho económico em relação a outras de dimensão semelhante no mesmo setor. É neste contexto que o EVA (Economic Value Added) se apresenta como uma métrica de desempenho privilegiada nos processos de controlo das decisões estratégicas tomadas. No presente trabalho pretendemos abordar o conceito da gestão baseada na criação de valor e a sua importância para o acionista, o que implica rever outros modelos de avaliação tradicionais baseados no valor contabilístico. Como métrica de avaliação do desempenho passado da empresa ao nível da criação de valor vamos dar particular importância ao estudo do EVA, fazendo referência à possível correlação entre esta métrica e o MVA (Market Value Added). O objetivo principal é analisar empiricamente a relação do EVA como medida de desempenho associada à criação de valor para os acionistas com a performance da empresa. Com efeito, vamos efetuar um estudo de caso, que vai incidir sobre um grupo empresarial português, referência no seu setor de atividade, o Grupo Galp Energia, cotado na Euronext Lisbon. Pensamos que a crescente prática da gestão baseada na criação de valor nas empresas cotadas em Portugal e a necessidade de aferir os resultados desta, tornam esta investigação pertinente, para além do facto de serem poucos os estudos empíricos à questão da criação de valor e a sua correlação com o valor acrescentado de mercado e com o valor de mercado dos capitais próprios das empresas cotadas em Portugal.
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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Multi-agent architectures are well suited for complex inherently distributed problem solving domains. From the many challenging aspects that arise within this framework, a crucial one emerges: how to incorporate dynamic and conflicting agent beliefs? While the belief revision activity in a single agent scenario is concentrated on incorporating new information while preserving consistency, in a multi-agent system it also has to deal with possible conflicts between the agents perspectives. To provide an adequate framework, each agent, built as a combination of an assumption based belief revision system and a cooperation layer, was enriched with additional features: a distributed search control mechanism allowing dynamic context management, and a set of different distributed consistency methodologies. As a result, a Distributed Belief Revision Testbed (DiBeRT) was developed. This paper is a preliminary report presenting some of DiBeRT contributions: a concise representation of external beliefs; a simple and innovative methodology to achieve distributed context management; and a reduced inter-agent data exchange format.
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Environmental management is a complex task. The amount and heterogeneity of the data needed for an environmental decision making tool is overwhelming without adequate database systems and innovative methodologies. As far as data management, data interaction and data processing is concerned we here propose the use of a Geographical Information System (GIS) whilst for the decision making we suggest a Multi-Agent System (MAS) architecture. With the adoption of a GIS we hope to provide a complementary coexistence between heterogeneous data sets, a correct data structure, a good storage capacity and a friendly user’s interface. By choosing a distributed architecture such as a Multi-Agent System, where each agent is a semi-autonomous Expert System with the necessary skills to cooperate with the others in order to solve a given task, we hope to ensure a dynamic problem decomposition and to achieve a better performance compared with standard monolithical architectures. Finally, and in view of the partial, imprecise, and ever changing character of information available for decision making, Belief Revision capabilities are added to the system. Our aim is to present and discuss an intelligent environmental management system capable of suggesting the more appropriate land-use actions based on the existing spatial and non-spatial constraints.
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This paper develops an energy management system with integration of smart meters for electricity consumers in a smart grid context. The integration of two types of smart meters (SM) are developed: (i) consumer owned SM and (ii) distributor owned SM. The consumer owned SM runs over a wireless platform - ZigBee protocol and the distributor owned SM uses the wired environment - ModBus protocol. The SM are connected to a SCADA system (Supervisory Control And Data Acquisition) that supervises a network of Programmable Logic Controllers (PLC). The SCADA system/PLC network integrates different types of information coming from several technologies present in modern buildings. The developed control strategy implements a hierarchical cascade controller where inner loops are performed by local PLCs, and the outer loop is managed by a centralized SCADA system, which interacts with the entire local PLC network. In order to implement advanced controllers, a communication channel was developed to allow the communication between the SCADA system and the MATLAB software. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Lean Thinking is an important pillar in the success of any program of continuous improvement process. Its tools are useful means in the analysis, control and organization of important data for correct decision making in organizations. This project had as main objective the design of a program of quality improvement in Eurico Ferreira, S.A., based on the evaluation of customer satisfaction and the implementation of 5S. Subsequently, we have selected which business area of the company to address. After the selection, there was an initial diagnostic procedure, identifying the various points of improvement to which some tools of Lean Thinking have been applied, in particular Value Stream Mapping and 5S methodology. With the first, we were able to map the current state of the process in which all stakeholders were represented as well as the flow of materials and information throughout the process. The 5S methodology allowed to act on the wastage, identifying and implementing various process improvements.
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O presente trabalho de dissertação teve como objetivo a implementação de metodologias de Lean Management e avaliação do seu impacto no processo de Desenvolvimento de Produto. A abordagem utilizada consistiu em efetuar uma revisão da literatura e levantamento do Estado da Arte para obter a fundamentação teórica necessária à implementação de metodologias Lean. Prosseguiu com o levantamento da situação inicial da organização em estudo ao nível das atividades de desenvolvimento de produto, práticas de gestão documental e operacional e ainda de atividades de suporte através da realização de inquéritos e medições experimentais. Este conhecimento permitiu criar um modelo de referência para a implementação de Lean Management nesta área específica do desenvolvimento de produto. Após implementado, este modelo foi validado pela sua experimentação prática e recolha de indicadores. A implementação deste modelo de referência permitiu introduzir na Unidade de Desenvolvimento de Produto e Sistemas (DPS) da organização INEGI, as bases do pensamento Lean, contribuindo para a criação de um ambiente de Respeito pela Humanidade e de Melhoria Contínua. Neste ambiente foi possível obter ganhos qualitativos e quantitativos nas várias áreas em estudo, contribuindo de forma global para um aumento da eficiência e eficácia da DPS. Prevê-se que este aumento de eficiência represente um aumento da capacidade instalada na Organização, pela redução anual de 2290 horas de desperdício (6.5% da capacidade total da unidade) e pela redução significativa em custos operacionais. Algumas das implementações de melhoria propostas no decorrer deste trabalho, após verificado o seu sucesso, extravasaram a unidade em estudo e foram aplicadas transversalmente à da organização. Foram também obtidos ganhos qualitativos, tais como a normalização de práticas de gestão documental e a centralização e agilização de fluxos de informação. Isso permitiu um aumento de qualidade dos serviços prestados pela redução de correções e retrabalho. Adicionalmente, com o desenvolvimento de uma nova ferramenta que permite a monitorização do estado atual dos projetos a nível da sua percentagem de execução (cumprimento de objetivos), prazos e custos, bem como a estimação das datas de conclusão dos projetos possibilitando o replaneamento do projeto bem como a detecção atempada de desvios. A ferramenta permite também a criação de um histórico que identifica o esforço horário associado à realização das atividades/tarefas das várias áreas de Desenvolvimento de Produto e desta forma pode ser usada como suporte à orçamentação futura de atividades similares. No decorrer do projeto, foram também criados os mecanismos que permitem o cálculo de indicadores das competências técnicas e motivações intrínsecas individuais da equipa DPS. Estes indicadores podem ser usados na definição por parte dos gestores dos projetos da composição das equipas de trabalho, dos executantes de tarefas individuais do projeto e dos destinatários de ações de formação. Com esta informação é expectável que se consiga um maior aproveitamento do potencial humano e como consequência um aumento do desempenho e da satisfação pessoal dos recursos humanos da organização. Este caso de estudo veio demonstrar que o potencial de melhoria dos processos associados ao desenvolvimento de produto através de metodologias de Lean Management é muito significativo, e que estes resultam em ganhos visíveis para a organização bem como para os seus elementos individualmente.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores
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With the introduction of the electrics cars into the market new technologies regarding the battery are being developed and new problems to be solved, one of them the battery management system because each type of cell requires a specific way of handling. This research is done using the active research method to find out the actual problem on this subject and features a BMS should have, understand how they work and how to develop them applied to the purpose on this work. Once the features the BMS should have are clarified, it’s possible to develop a BMS for an electric racing car. The decisions are made taking into consideration the nature of the vehicle being developed. After the project done it’s clear to see that what was developed was not only the BMS itself but all the other factors around it, such as CAN communication, safety control, diagnostics and so on.