Recentemente, muitas mudanças vêm ocorrendo na forma como a energia elétrica é gerada e distribuída, criando com isso oportunidades de utilizar os recursos disponíveis in loco de forma mais eficiente, atuando juntamente com sistemas centralizados convencionais, para o atendimento das necessidades energéticas. Neste contexto, as minirredes de energia são consideradas pontos chaves para melhorar a confiabilidade e a qualidade da energia, aumentar a eficiência do sistema elétrico como um todo, viabilizar aos consumidores finais a possibilidade de uma certa independência da rede e uma participação mais ativa no mercado de energia elétrica. No entanto, a aplicação de tais topologias ainda não superou todas as barreiras para que todos os benefícios possam ser apreciados. Há ainda perguntas a serem respondidas sobre como lidar com as especificidades e os aspectos operacionais de minirredes, tanto em operação normal quanto em operação anômala, que são fundamentais para a sustentabilidade de longo prazo dos sistemas. Este trabalho discute aspectos relacionados à operação de minirredes, tanto em sistemas isolados quanto em sistemas conectados à rede da concessionária. No caso de sistemas isolados, a abordagem leva em consideração os riscos associados aos projetos voltados para eletrificação rural e discute questões não restritas ao projeto inicial, mas também à operação destes tipos de sistemas. No caso de sistemas conectados, são discutidas tendências relacionadas às topologias de utilização destes sistemas para operação conjunta com a rede elétrica. Um algoritmo para controle de minirredes em diferentes níveis hierárquicos é proposto. Este algoritmo serve como base para o controle da plataforma de interação de agentes distribuídos, montada no Laboratório de Sistemas Fotovoltaicos da Universidade de São Paulo para testes em equipamentos reais e para a formação de recursos humanos. / Recently, many changes are taking place in the way energy is generated and distributed, thus creating opportunities to utilize the resources available on site more efficiently, working along with conventional centralized systems, to meet energy needs. In this context, mini-grids are considered key points to improve the reliability and power quality, increase the efficiency of the electric system as a whole, enable end consumers to have a certain independence from the grid and a more active participation in the electricity market. However, the application of such topologies has not yet overcome all barriers so that all their benefits can be appreciated. There are still questions to be answered on how to deal with the specificities and operational aspects of micro-grids in both normal and anomalous operation, which are fundamental to the long-term sustainability of power systems. This work discusses aspects related to micro-grids in both isolated and grid-connected operation modes. In the case of isolated systems, the approach takes into account the risks associated with rural electrification projects and discusses issues not restricted to the design, but also to the operation of these types of systems. In the case of grid-connected systems, trends related to the topologies to be used for joint operation with the power grid are discussed. An algorithm to control micro-grids at different hierarchical levels is proposed. This algorithm serves as a basis for the control of the platform for the interaction of distributed agents assembled at the Laboratório de Sistemas Fotovoltaicos of the Universidade de São Paulo to be used for tests on real equipment and for capacity building.

Recentemente, muitas mudanças vêm ocorrendo na forma como a energia elétrica é gerada e distribuída, criando com isso oportunidades de utilizar os recursos disponíveis in loco de forma mais eficiente, atuando juntamente com sistemas centralizados convencionais, para o atendimento das necessidades energéticas. Neste contexto, as minirredes de energia são consideradas pontos chaves para melhorar a confiabilidade e a qualidade da energia, aumentar a eficiência do sistema elétrico como um todo, viabilizar aos consumidores finais a possibilidade de uma certa independência da rede e uma participação mais ativa no mercado de energia elétrica. No entanto, a aplicação de tais topologias ainda não superou todas as barreiras para que todos os benefícios possam ser apreciados. Há ainda perguntas a serem respondidas sobre como lidar com as especificidades e os aspectos operacionais de minirredes, tanto em operação normal quanto em operação anômala, que são fundamentais para a sustentabilidade de longo prazo dos sistemas. Este trabalho discute aspectos relacionados à operação de minirredes, tanto em sistemas isolados quanto em sistemas conectados à rede da concessionária. No caso de sistemas isolados, a abordagem leva em consideração os riscos associados aos projetos voltados para eletrificação rural e discute questões não restritas ao projeto inicial, mas também à operação destes tipos de sistemas. No caso de sistemas conectados, são discutidas tendências relacionadas às topologias de utilização destes sistemas para operação conjunta com a rede elétrica. Um algoritmo para controle de minirredes em diferentes níveis hierárquicos é proposto. Este algoritmo serve como base para o controle da plataforma de interação de agentes distribuídos, montada no Laboratório de Sistemas Fotovoltaicos da Universidade de São Paulo para testes em equipamentos reais e para a formação de recursos humanos. / Recently, many changes are taking place in the way energy is generated and distributed, thus creating opportunities to utilize the resources available on site more efficiently, working along with conventional centralized systems, to meet energy needs. In this context, mini-grids are considered key points to improve the reliability and power quality, increase the efficiency of the electric system as a whole, enable end consumers to have a certain independence from the grid and a more active participation in the electricity market. However, the application of such topologies has not yet overcome all barriers so that all their benefits can be appreciated. There are still questions to be answered on how to deal with the specificities and operational aspects of micro-grids in both normal and anomalous operation, which are fundamental to the long-term sustainability of power systems. This work discusses aspects related to micro-grids in both isolated and grid-connected operation modes. In the case of isolated systems, the approach takes into account the risks associated with rural electrification projects and discusses issues not restricted to the design, but also to the operation of these types of systems. In the case of grid-connected systems, trends related to the topologies to be used for joint operation with the power grid are discussed. An algorithm to control micro-grids at different hierarchical levels is proposed. This algorithm serves as a basis for the control of the platform for the interaction of distributed agents assembled at the Laboratório de Sistemas Fotovoltaicos of the Universidade de São Paulo to be used for tests on real equipment and for capacity building.

A spectral element algorithm for solution of the incompressible Navier-Stokes and heat transfer equations is developed, with an emphasis on extending the classical conforming Galerkin formulations to nonconforming spectral elements. The new algorithm employs both the Constrained Approximation Method (CAM), and the Mortar Element Method (MEM) for p-and h-type nonconforming elements. Detailed descriptions, and formulation steps for both methods, as well as the performance comparisons between CAM and MEM, are presented. This study fills an important gap in the literature by providing a detailed explanation for treatment of p-and h-type nonconforming interfaces. A comparative eigenvalue spectrum analysis of diffusion and convection operators is provided for CAM and MEM. Effects of consistency errors due to the nonconforming formulations on the convergence of steady and time dependent problems are studied in detail. Incompressible flow solvers that can utilize these nonconforming formulations on both p- and h-type nonconforming grids are developed and validated. Engineering use of the developed solvers are demonstrated by detailed parametric analyses of oscillatory flow forced convection heat transfer in two-dimensional channels.

A spectral element algorithm for solution of the incompressible Navier-Stokes and heat transfer equations is developed, with an emphasis on extending the classical conforming Galerkin formulations to nonconforming spectral elements. The new algorithm employs both the Constrained Approximation Method (CAM), and the Mortar Element Method (MEM) for p-and h-type nonconforming elements. Detailed descriptions, and formulation steps for both methods, as well as the performance comparisons between CAM and MEM, are presented. This study fills an important gap in the literature by providing a detailed explanation for treatment of p-and h-type nonconforming interfaces. A comparative eigenvalue spectrum analysis of diffusion and convection operators is provided for CAM and MEM. Effects of consistency errors due to the nonconforming formulations on the convergence of steady and time dependent problems are studied in detail. Incompressible flow solvers that can utilize these nonconforming formulations on both p- and h-type nonconforming grids are developed and validated. Engineering use of the developed solvers are demonstrated by detailed parametric analyses of oscillatory flow forced convection heat transfer in two-dimensional channels.

Esta dissertação tem por objetivo apresentar a proposta de uma política de escalonamento para grids computacionais. Essa política, intitulada Dynamic Max-Min2x, é orientada ao escalonamento de aplicações cujas tarefas não realizam comunicação entre si e visa a redução do tempo de resposta dessas aplicações através da utilização de atribuição dinâmica de tarefas e replicação das mesmas. Experimentos, feitos através de simulação, mostram que o tempo médio de resposta de aplicações utilizando-se a Dynamic Max-Min2x é inferior ao de outras políticas da literatura. Análises dos resultados desses experimentos apontam que esse tempo tende a ser mais atrativo principalmente quando as tarefas necessitam de muito processamento e quando há grande variação de carga no sistema, caracteristicas comuns em grids computacionais. Além disso, esta dissertação apresenta a implementação de um framework utilizando-se o Globus Toolkit, onde é possível a inserção de políticas de escalonamento para a submissão inteligente de tarefas em um grid computacional. / This Master thesis proposes a new grid scheduling policy called Dynamic Max-Min2x. This policy focuses on applications in which tasks do not communicate among themsenves and targets a response time reduction of these applications through the use of dynamic task distribution and replication techniques. Experiments, done using simulations, have shown that the response time related to Dynamic Max-Min2x is smaller than others policies found in literature. Analysis of the results have demonstrated that this time tends to become more attractive when tasks do not need much processing power and when there is a great load variation in the system, characteristics frequently found in grids. Furthermore, this thesis presents the implementation of a framework using Globus Toolkit, which makes possible the new scheduling policies insertion to provide an intelligent submission tasks in a computational grid system.

Access to clean and affordable energy is a prerequisite for human development. In order to achieve access to sustainable energy for all innovation in rural electrification is needed. Decentralized renewable energy technologies in form of Solar Home Systems and Mini-grids possess the potential of electrifying a large number of rural households which cannot be connected to the national grid with local available energy sources. However, the deployment of Mini-grids is facing barriers such as a lack of private investments. By building on already existing SHSs swarm grids can enable households to trade electricity and use their excess electricity to supply additional loads. Swarm grids as an evolutionary bottom-up approach to electrification can overcome some of the obstacles regular Mini-grids face and play a vital role in improving electricity access. As part of this thesis a model has been developed which allows for simulating the electricity flow including line losses in swarm grids of any size on an hourly basis. The model facilitates the gaining of a better understanding for the impact global parameters (e.g. distance between households) have on the feasibility of swarm grids. A field trip to Bangladesh has been undertaken in order to obtain input data for simulating different cases in the model created. The simulations performed indicate that in a swarm grid the generated excess energy of SHSs which so far is wasted can supply the demand of households without SHS as well as commercial loads such as irrigation pumps. Overall the results point towards swarm grids being an innovation with the potential of improving rural electricity access by building on existing infrastructure.

No description available.

Les Smart Grids sont des réseaux électriques intelligents permettant d’optimiser la production, la distribution et la consommation d’électricité grâce à l’introduction des technologies de l’information et de la communication sur le réseau électrique. Les Smart Grids impactent fortement l’ensemble de l’architecture d’entreprise des gestionnaires de réseaux électriques. Simuler une architecture d’entreprise permet aux acteurs concernés d’anticiper de tels impacts.Dès lors, l’objectif de cette thèse est de fournir des modèles, méthodes et outils permettant de modéliser puis de simuler une architecture d’entreprise afin de la critiquer ou de la valider.Dans ce contexte, nous proposons un framework multi-vues, nommé ExecuteEA, pour faciliter la modélisation des architectures d’entreprise en automatisant l’analyse de leurs structures et de leurs comportements par la simulation. ExecuteEA traite chacune des vues métier, fonctionnelle et applicative selon trois aspects : informations, processus et objectifs. Pour répondre au besoin d’alignement métier/IT, nous introduisons une vue supplémentaire : la vue intégration. Dans cette vue nous proposons de modéliser les liens de cohérence inter et intra vues.Nous mettons, par ailleurs, à profit des techniques issues de l’ingénierie dirigée par les modèles en tant que techniques support pour la modélisation et la simulation d’une architecture d’entreprise. Notre validons ensuite notre proposition à travers un cas métier Smart Grid relatif à la gestion d’une flotte de véhicules électriques. / In this thesis, we propose a framework that facilitates modeling Enterprise Architectures (EA) by automating analysis, prediction, and simulation, in order to address the key issue of business/IT alignment. We present our approach in the context of Smart Grids, which are power grids enabled with Information and Communication Technologies. Extensive studies try to foresee the impact of Smart Grids on electric components, telecommunication infrastructure, and industrial automation and IT. However, Smart Grids also have an impact on the overall EA of grids operators. Therefore, our framework enables stakeholders to validate and criticize their modeling choices for the EA in the context of Smart Grids. What we propose is a multi-view framework with three aspects – information, processes, and goals – for each view. In addition to thebusiness, functional and application views, we add an integration view to ensure inter and intra-view consistency. We rely on Model Driven Engineering (MDE) techniques to ease the holistic modeling and simulation of enterprise systems. Finally, we show the utility of our approach by applying it on a Smart Grid case study: the management of an electric vehicles fleet.

Les ventes de Véhicules Électriques (VE) ont fortement augmenté ces dernières années. Si les processus de charge de ces VE ne sont pas gérés de manière intelligente, ils risquent de surcharger les réseaux électriques. Inversement, les VE pourraient représenter une opportunité pour ces réseaux en tant qu'unités de stockage distribuées.Cette thèse se propose d’étudier l’intégration intelligente des véhicules rechargeables dans les réseaux électriques d’un point de vue technique, réglementaire et économique. Dans un premier temps, le cadre général nécessaire au développement de ces solutions est passé en revue : les domaines d’application et scenarios de référence sont décrits, les acteurs principaux listés, et les défis principaux analysés.Ensuite, l’accent est mis sur les services système, et plus particulièrement sur le réglage de fréquence. Les conditions règlementaires permettant la participation d’une flotte de véhicules électriques à ce service sont étudiées à partir d’une revue des règles de gestionnaires de réseau de transport existants. De nombreuses simulations techniques et économiques sont réalisées, pour différentes règles de marché.Les services réseau locaux sont ensuite considères. Un éco-quartier est modélisé : il comprend différentes unités de consommation et des sources de production distribuées. Un gestionnaire énergétique local est proposé : son rôle est de contrôler les taux de charge / décharge des véhicules électriques de l’éco-quartier dans l’objectif de limiter les surcharges subies par le transformateur électrique de l’éco-quartier. Des conséquences économiques sont tirées des résultats techniques.Enfin, des résultats expérimentaux sont présentés. Le comportement de deux VE est analysé, dont un dispose de capacités bidirectionnelles. Les preuves de concept expérimentales confirment les capacités théoriques des véhicules électriques : il s’agit d’unités à temps de réponse très court (même en considérant l’architecture TIC complète) et ils sont capables de réagir à des signaux réseau très précisément. / Electric vehicles (EVs) penetration has been rapidly increasing during the last few years. If not managed properly, the charging process of EVs could jeopardize electric grid operations. On the other hand, Grid Integrated Vehicles (GIVs), i.e. vehicles whose charging and discharging patterns are smartly controlled, could turn into valuable assets for the electrical grids as distributed storage units.In this thesis, GIVs are studied from a technical, regulatory, and economics perspectives. First, the general framework for a smart grid integration of EVs is reviewed: application areas and benchmark scenarios are described, the main actors are listed, and the most important challenges are analyzed.Then, the emphasis is put on system wide services, and more particularly on frequency control mechanisms. The regulatory conditions enabling the participation of GIV fleets to this service are studied based on an intensive survey of existing transmission system operator rules. Several economics and technical simulations are performed for various market designs.Then, local grid services are investigated. A representative eco-district is modeled, considering various consumption units and distributed generation. A local energy management system is proposed; it is responsible for controlling the charging / discharging patterns of the GIVs which are located in the district in order to mitigate the overloading conditions of the eco-district transformer. Economic consequences are derived from this technical analysis.At last, some experimental results are presented. They show the behavior of two GIVs, including one with bidirectional capabilities. The experimental proof of concepts confirm the theoretical abilities of GIVs: they are very fast responding units (even considering the complete required IT architecture) and are able to follow grid signals very accurately.

This thesis provides a comprehensive analysis of the conversion of an existing electrical grid that caters to a harbour in southern Sweden. The conversion would be into a smart and decentralized grid in order to accommodate the demands of the energy transition in the region. The primary aim is to improve the existing infrastructure's ability to accommodate potential electrical loads in accordance with forthcoming energy requirements through retrofitting. A systematic methodology was implemented, starting with the creation of a digital twin model of the current grid infrastructure to enable accurate power flow analysis and simulation of expected future load conditions. Following the determination and examination of power flow parameters, the investigation's offer recommendations that aim to enhance the grid's capability to accommodate future load integration without requiring excessive reconstruction. This approach highlights the capacity of retrofitting to serve as a sustainable means of modernizing power grids, thereby contributing to the wider discussion on optimizing energy infrastructure in response to changing consumption patterns and technological progress.