Cette thèse porte sur la construction des algorithmes distribués pour l’optimisation de la production et du partage de ressources au sein d’un réseau de large dimension. Notamment, on se concentre sur les réseaux électriques et les réseaux cellulaires 5G. On considère dans le cas des réseaux électriques le problème OPF (Optimal Power Flow) dans lequel on vise à faire la gestion et l’optimisation de la production de l’énergie électrique d’une manière distribuée. On se concentre sur une version linéarisée du problème, la DC-OPF (Direct-Current Optimal Power Flow). Comme le problème d’optimisation est convexe dans ce cas, on vise à minimiser le coût de production de l’énergie tout en respectant les limites des lignes de transmission et les contraintes caractéristiques du système. Dans le cas des réseaux cellulaires, on formule un problème de Caching. On a pour but de réduire l’utilisation du backhaul liant les stations de base et le contrôleur du réseau. Les stations de base sont équipées d’une capacité de stockage limitée. Ils visent à trouver d’une manière optimale les fichiers à stocker dans le but de réduire une certaine fonction de coût sur l’utilisation du backhaul et sur le partage des fichiers avec les autres stations de base. L’approche adoptée dans cette thèse consiste à appliquer l’ADMM (Alternating Direction Method of Multipliers), une méthode d’optimisation de manière itérative, à un problème d’optimisation que l’on a préalablement reformulée de façon adéquate. Ce problème permet à la fois de décrire le DC-OPF et le problème de Caching. On démontre la convergence de cette méthode quand elle est appliquée noeud par noeudd’une manière totalement distribuée. Ainsi que dans le cas où le réseau est divisé en plusieurs zones. Ces zones peuvent se chevaucher mais aussi elles peuvent être séparées ou indépendantes. De plus, dans le contexte d’un réseau à zones, on démontre que l’application de l’ADMM d’une manière aléatoire par une seule zone converge aussi vers la solution optimale du problème. / This thesis focuses on the construction of distributed algorithms for optimizing resource production in a large interconnected system. In particular, it focuses on power grid and 5G cellular networks. In the case of power grid networks, we consider the OPF (Optimal Power Flow) problem in which one seeks to manage and optimize the production of electrical energy in a distributed manner. We focus on a linearized version of the problem, the DC-OPF (Direct- Current Optimal Power Flow) problem. This optimization problem is convex; the aim is to minimize the cost of energy generation while respecting the limits of the transmission line and the power flow constraints. In the case of 5G cellular networks, we formulate a caching problem. We aim to offload the backhaul link usage connecting the small bases stations (SBSs) to the central scheduler (CS). The SBSs are equipped with a limited storage capacity. We seek to find the optimal way to store files so as to reduce the cost on the use of backhaul and sharing files with other SBSs. The approach adopted in this thesis is to apply the ADMM (Alternating Direction Method of Multipliers), an optimization method that is applied iteratively, to an optimization problem that we adequately formulated previously. This problem can both describe the DC-OPF problem and the Caching problem. We prove the convergence of the method when applied node by node in a fully distributed manner. Additionally, we prove its convergence in the case where the network is divided into multiple areas or nations that may or may not overlap. Furthermore, in the context of a network with multiple areas, we show that the application of ADMM in a random manner by a single randomly chosen area also converges to the optimal solution of the problem.

More and more of our physical world today is being monitored and controlled by so-called cyber-physical systems (CPSs). These are compositions of networked autonomous cyber and physical agents such as sensors, actuators, computational elements, and humans in the loop. Today, CPSs are still relatively small-scale and very limited compared to CPSs to be witnessed in the future. Future CPSs are expected to be far more complex, large-scale, wide-spread, and mission-critical, and found in a variety of domains such as transportation, medicine, manufacturing, and energy, where they will bring many advantages such as the increased efficiency, sustainability, reliability, and security. To unleash their full potential, CPSs need to be equipped with, among other features, the support for automated planning and control, where computing agents collaboratively and continuously plan and control their actions in an intelligent and well-coordinated manner to secure and optimize a physical process, e.g., electricity flow in the power grid. In today’s CPSs, the control is typically automated, but the planning is solely performed by humans. Unfortunately, it is intractable and infeasible for humans to plan every action in a future CPS due to the complexity, scale, and volatility of a physical process. Due to these properties, the control and planning has to be continuous and automated in future CPSs. Humans may only analyse and tweak the system’s operation using the set of tools supporting prescriptive analytics that allows them (1) to make predictions, (2) to get the suggestions of the most prominent set of actions (decisions) to be taken, and (3) to analyse the implications as if such actions were taken. This thesis considers the planning and control in the context of a large-scale multi-agent CPS. Based on the smart-grid use-case, it presents a so-called PrescriptiveCPS – which is (the conceptual model of) a multi-agent, multi-role, and multi-level CPS automatically and continuously taking and realizing decisions in near real-time and providing (human) users prescriptive analytics tools to analyse and manage the performance of the underlying physical system (or process). Acknowledging the complexity of CPSs, this thesis provides contributions at the following three levels of scale: (1) the level of a (full) PrescriptiveCPS, (2) the level of a single PrescriptiveCPS agent, and (3) the level of a component of a CPS agent software system. At the CPS level, the contributions include the definition of PrescriptiveCPS, according to which it is the system of interacting physical and cyber (sub-)systems. Here, the cyber system consists of hierarchically organized inter-connected agents, collectively managing instances of so-called flexibility, decision, and prescription models, which are short-lived, focus on the future, and represent a capability, an (user’s) intention, and actions to change the behaviour (state) of a physical system, respectively. At the agent level, the contributions include the three-layer architecture of an agent software system, integrating the number of components specially designed or enhanced to support the functionality of PrescriptiveCPS. At the component level, the most of the thesis contribution is provided. The contributions include the description, design, and experimental evaluation of (1) a unified multi-dimensional schema for storing flexibility and prescription models (and related data), (2) techniques to incrementally aggregate flexibility model instances and disaggregate prescription model instances, (3) a database management system (DBMS) with built-in optimization problem solving capability allowing to formulate optimization problems using SQL-like queries and to solve them “inside a database”, (4) a real-time data management architecture for processing instances of flexibility and prescription models under (soft or hard) timing constraints, and (5) a graphical user interface (GUI) to visually analyse the flexibility and prescription model instances. Additionally, the thesis discusses and exemplifies (but provides no evaluations of) (1) domain-specific and in-DBMS generic forecasting techniques allowing to forecast instances of flexibility models based on historical data, and (2) powerful ways to analyse past, current, and future based on so-called hypothetical what-if scenarios and flexibility and prescription model instances stored in a database. Most of the contributions at this level are based on the smart-grid use-case. In summary, the thesis provides (1) the model of a CPS with planning capabilities, (2) the design and experimental evaluation of prescriptive analytics techniques allowing to effectively forecast, aggregate, disaggregate, visualize, and analyse complex models of the physical world, and (3) the use-case from the energy domain, showing how the introduced concepts are applicable in the real world. We believe that all this contribution makes a significant step towards developing planning-capable CPSs in the future. / Mehr und mehr wird heute unsere physische Welt überwacht und durch sogenannte Cyber-Physical-Systems (CPS) geregelt. Dies sind Kombinationen von vernetzten autonomen cyber und physischen Agenten wie Sensoren, Aktoren, Rechenelementen und Menschen. Heute sind CPS noch relativ klein und im Vergleich zu CPS der Zukunft sehr begrenzt. Zukünftige CPS werden voraussichtlich weit komplexer, größer, weit verbreiteter und unternehmenskritischer sein sowie in einer Vielzahl von Bereichen wie Transport, Medizin, Fertigung und Energie – in denen sie viele Vorteile wie erhöhte Effizienz, Nachhaltigkeit, Zuverlässigkeit und Sicherheit bringen – anzutreffen sein. Um ihr volles Potenzial entfalten zu können, müssen CPS unter anderem mit der Unterstützung automatisierter Planungs- und Steuerungsfunktionalität ausgestattet sein, so dass Agents ihre Aktionen gemeinsam und kontinuierlich auf intelligente und gut koordinierte Weise planen und kontrollieren können, um einen physischen Prozess wie den Stromfluss im Stromnetz sicherzustellen und zu optimieren. Zwar sind in den heutigen CPS Steuerung und Kontrolle typischerweise automatisiert, aber die Planung wird weiterhin allein von Menschen durchgeführt. Leider ist diese Aufgabe nur schwer zu bewältigen, und es ist für den Menschen schlicht unmöglich, jede Aktion in einem zukünftigen CPS auf Basis der Komplexität, des Umfangs und der Volatilität eines physikalischen Prozesses zu planen. Aufgrund dieser Eigenschaften müssen Steuerung und Planung in CPS der Zukunft kontinuierlich und automatisiert ablaufen. Der Mensch soll sich dabei ganz auf die Analyse und Einflussnahme auf das System mit Hilfe einer Reihe von Werkzeugen konzentrieren können. Derartige Werkzeuge erlauben (1) Vorhersagen, (2) Vorschläge der wichtigsten auszuführenden Aktionen (Entscheidungen) und (3) die Analyse und potentiellen Auswirkungen der zu fällenden Entscheidungen. Diese Arbeit beschäftigt sich mit der Planung und Kontrolle im Rahmen großer Multi-Agent-CPS. Basierend auf dem Smart-Grid als Anwendungsfall wird ein sogenanntes PrescriptiveCPS vorgestellt, welches einem Multi-Agent-, Multi-Role- und Multi-Level-CPS bzw. dessen konzeptionellem Modell entspricht. Diese PrescriptiveCPS treffen und realisieren automatisch und kontinuierlich Entscheidungen in naher Echtzeit und stellen Benutzern (Menschen) Prescriptive-Analytics-Werkzeuge und Verwaltung der Leistung der zugrundeliegenden physischen Systeme bzw. Prozesse zur Verfügung. In Anbetracht der Komplexität von CPS leistet diese Arbeit Beiträge auf folgenden Ebenen: (1) Gesamtsystem eines PrescriptiveCPS, (2) PrescriptiveCPS-Agenten und (3) Komponenten eines CPS-Agent-Software-Systems. Auf CPS-Ebene umfassen die Beiträge die Definition von PrescriptiveCPS als ein System von wechselwirkenden physischen und cyber (Sub-)Systemen. Das Cyber-System besteht hierbei aus hierarchisch organisierten verbundenen Agenten, die zusammen Instanzen sogenannter Flexibility-, Decision- und Prescription-Models verwalten, welche von kurzer Dauer sind, sich auf die Zukunft konzentrieren und Fähigkeiten, Absichten (des Benutzers) und Aktionen darstellen, die das Verhalten des physischen Systems verändern. Auf Agenten-Ebene umfassen die Beiträge die Drei-Ebenen-Architektur eines Agentensoftwaresystems sowie die Integration von Komponenten, die insbesondere zur besseren Unterstützung der Funktionalität von PrescriptiveCPS entwickelt wurden. Der Schwerpunkt dieser Arbeit bilden die Beiträge auf der Komponenten-Ebene, diese umfassen Beschreibung, Design und experimentelle Evaluation (1) eines einheitlichen multidimensionalen Schemas für die Speicherung von Flexibility- and Prescription-Models (und verwandten Daten), (2) der Techniken zur inkrementellen Aggregation von Instanzen eines Flexibilitätsmodells und Disaggregation von Prescription-Models, (3) eines Datenbankmanagementsystem (DBMS) mit integrierter Optimierungskomponente, die es erlaubt, Optimierungsprobleme mit Hilfe von SQL-ähnlichen Anfragen zu formulieren und sie „in einer Datenbank zu lösen“, (4) einer Echtzeit-Datenmanagementarchitektur zur Verarbeitung von Instanzen der Flexibility- and Prescription-Models unter (weichen oder harten) Zeitvorgaben und (5) einer grafische Benutzeroberfläche (GUI) zur Visualisierung und Analyse von Instanzen der Flexibility- and Prescription-Models. Darüber hinaus diskutiert und veranschaulicht diese Arbeit beispielhaft ohne detaillierte Evaluation (1) anwendungsspezifische und im DBMS integrierte Vorhersageverfahren, die die Vorhersage von Instanzen der Flexibility- and Prescription-Models auf Basis historischer Daten ermöglichen, und (2) leistungsfähige Möglichkeiten zur Analyse von Vergangenheit, Gegenwart und Zukunft auf Basis sogenannter hypothetischer „What-if“-Szenarien und der in der Datenbank hinterlegten Instanzen der Flexibility- and Prescription-Models. Die meisten der Beiträge auf dieser Ebene basieren auf dem Smart-Grid-Anwendungsfall. Zusammenfassend befasst sich diese Arbeit mit (1) dem Modell eines CPS mit Planungsfunktionen, (2) dem Design und der experimentellen Evaluierung von Prescriptive-Analytics-Techniken, die eine effektive Vorhersage, Aggregation, Disaggregation, Visualisierung und Analyse komplexer Modelle der physischen Welt ermöglichen und (3) dem Anwendungsfall der Energiedomäne, der zeigt, wie die vorgestellten Konzepte in der Praxis Anwendung finden. Wir glauben, dass diese Beiträge einen wesentlichen Schritt in der zukünftigen Entwicklung planender CPS darstellen. / Mere og mere af vores fysiske verden bliver overvåget og kontrolleret af såkaldte cyber-fysiske systemer (CPSer). Disse er sammensætninger af netværksbaserede autonome IT (cyber) og fysiske (physical) agenter, såsom sensorer, aktuatorer, beregningsenheder, og mennesker. I dag er CPSer stadig forholdsvis små og meget begrænsede i forhold til de CPSer vi kan forvente i fremtiden. Fremtidige CPSer forventes at være langt mere komplekse, storstilede, udbredte, og missionskritiske, og vil kunne findes i en række områder såsom transport, medicin, produktion og energi, hvor de vil give mange fordele, såsom øget effektivitet, bæredygtighed, pålidelighed og sikkerhed. For at frigøre CPSernes fulde potentiale, skal de bl.a. udstyres med støtte til automatiseret planlægning og kontrol, hvor beregningsagenter i samspil og løbende planlægger og styrer deres handlinger på en intelligent og velkoordineret måde for at sikre og optimere en fysisk proces, såsom elforsyningen i elnettet. I nuværende CPSer er styringen typisk automatiseret, mens planlægningen udelukkende er foretaget af mennesker. Det er umuligt for mennesker at planlægge hver handling i et fremtidigt CPS på grund af kompleksiteten, skalaen, og omskifteligheden af en fysisk proces. På grund af disse egenskaber, skal kontrol og planlægning være kontinuerlig og automatiseret i fremtidens CPSer. Mennesker kan kun analysere og justere systemets drift ved hjælp af det sæt af værktøjer, der understøtter præskriptive analyser (prescriptive analytics), der giver dem mulighed for (1) at lave forudsigelser, (2) at få forslagene fra de mest fremtrædende sæt handlinger (beslutninger), der skal tages, og (3) at analysere konsekvenserne, hvis sådanne handlinger blev udført. Denne afhandling omhandler planlægning og kontrol i forbindelse med store multi-agent CPSer. Baseret på en smart-grid use case, præsenterer afhandlingen det såkaldte PrescriptiveCPS hvilket er (den konceptuelle model af) et multi-agent, multi-rolle, og multi-level CPS, der automatisk og kontinuerligt tager beslutninger i nær-realtid og leverer (menneskelige) brugere præskriptiveanalyseværktøjer til at analysere og håndtere det underliggende fysiske system (eller proces). I erkendelse af kompleksiteten af CPSer, giver denne afhandling bidrag til følgende tre niveauer: (1) niveauet for et (fuldt) PrescriptiveCPS, (2) niveauet for en enkelt PrescriptiveCPS agent, og (3) niveauet for en komponent af et CPS agent software system. På CPS-niveau, omfatter bidragene definitionen af PrescriptiveCPS, i henhold til hvilken det er det system med interagerende fysiske- og IT- (under-) systemer. Her består IT-systemet af hierarkisk organiserede forbundne agenter der sammen styrer instanser af såkaldte fleksibilitet (flexibility), beslutning (decision) og præskriptive (prescription) modeller, som henholdsvis er kortvarige, fokuserer på fremtiden, og repræsenterer en kapacitet, en (brugers) intention, og måder til at ændre adfærd (tilstand) af et fysisk system. På agentniveau omfatter bidragene en tre-lags arkitektur af et agent software system, der integrerer antallet af komponenter, der er specielt konstrueret eller udbygges til at understøtte funktionaliteten af PrescriptiveCPS. Komponentniveauet er hvor afhandlingen har sit hovedbidrag. Bidragene omfatter beskrivelse, design og eksperimentel evaluering af (1) et samlet multi- dimensionelt skema til at opbevare fleksibilitet og præskriptive modeller (og data), (2) teknikker til trinvis aggregering af fleksibilitet modelinstanser og disaggregering af præskriptive modelinstanser (3) et database management system (DBMS) med indbygget optimeringsproblemløsning (optimization problem solving) der gør det muligt at formulere optimeringsproblemer ved hjælp af SQL-lignende forespørgsler og at løse dem "inde i en database", (4) en realtids data management arkitektur til at behandle instanser af fleksibilitet og præskriptive modeller under (bløde eller hårde) tidsbegrænsninger, og (5) en grafisk brugergrænseflade (GUI) til visuelt at analysere fleksibilitet og præskriptive modelinstanser. Derudover diskuterer og eksemplificerer afhandlingen (men giver ingen evalueringer af) (1) domæne-specifikke og in-DBMS generiske prognosemetoder der gør det muligt at forudsige instanser af fleksibilitet modeller baseret på historiske data, og (2) kraftfulde måder at analysere tidligere-, nutids- og fremtidsbaserede såkaldte hypotetiske hvad-hvis scenarier og fleksibilitet og præskriptive modelinstanser gemt i en database. De fleste af bidragene på dette niveau er baseret på et smart-grid brugsscenarie. Sammenfattende giver afhandlingen (1) modellen for et CPS med planlægningsmulighed, (2) design og eksperimentel evaluering af præskriptive analyse teknikker der gør det muligt effektivt at forudsige, aggregere, disaggregere, visualisere og analysere komplekse modeller af den fysiske verden, og (3) brugsscenariet fra energiområdet, der viser, hvordan de indførte begreber kan anvendes i den virkelige verden. Vi mener, at dette bidrag udgør et betydeligt skridt i retning af at udvikle CPSer til planlægningsbrug i fremtiden.

Made available in DSpace on 2016-04-04T18:31:37Z (GMT). No. of bitstreams: 1 Huederson Aparecido Botura da Silva.pdf: 9209159 bytes, checksum: 19951a63245110738c893753fdd3874c (MD5) Previous issue date: 2012-12-07 / In an eletric power transmission system, the insulators are directly associated with the security level of the web, which your fail influence on companies statistics. The polymeric insulators are become more utilized year after year, having numerous advantages to its competitors (glass and/ or porcelain), however, its useful life can not be determined yet. This paper discuss the use of the free frequency of 915 MHz for monitoring and supervision af this polymeric insulators, and can thus provide data about the web, as well, indicate its useful live. Was performed a data transmission with variations of the intensity of eletric fields resulting from the line fitting of the 500kv rated voltage insulator. The variation of the electric field was obtained using different anti-corona rings. Its values were obtained using software as Gmsh and GetDP which use the method of finites elements. Was possible to observe that the central frequency of the carrier didi not change when a sign passed throw the electric field, besides being possible to perform the communication between the sensors having, at the most critical configuration, a packet loss equal to 1,6%. Also was possible observerd that for all tests performed occurred a small degradation of the sign during the data transmission. / Em um sistema de transmiss?o de energia el?trica, os isoladores est?o diretamente associados ao n?vel de seguran?a da rede, na qual sua falha influ?ncia em indicadores das concession?rias. Os isoladores polim?ricos est?o adquirindo com o passar dos anos maior utiliza??o, sendo que possui in?meras vantagens perante seus concorrentes (vidro e/ou porcelana), entretanto sua vida ?til ainda n?o pode ser determinada. Este trabalho aborda a utiliza??o da frequ?ncia livre de 915 MHz para monitoramento e supervis?o destes isoladores polim?ricos, sendo poss?vel assim fornecer dados sobre a rede bem como indicando a sua vida ?til. Foi realizado uma transmiss?o de dados mediante varia??es da intensidade do campo el?trico decorrentes do terminal fase do isolador da classe de tens?o de 500 kv. A varia??o da intensidade do campo el?trico foi obtido utilizando an?is anti-corona diferentes, sendo seus valores obtidos atrav?s de simula??es utilizando os softwares Gmsh e GetDP que utiliza o m?todo dos elementos finitos. Foi poss?vel observar que a frequ?ncia central da portadora n?o teve varia??o quando o sinal passava pelo campo el?trico, al?m de ser poss?vel realizar a comunica??o entre os n?s sensores tendo, na configura??o mais cr?tica, uma perda de pacotes igual a 1,6%. Tamb?m foi poss?vel observar que para todos os ensaios realizados ocorreu pequena degrada??o do sinal durante a transmiss?o de dados.

Este trabalho tem por objetivo avaliar a perspectiva econômica e modelo de negócio da tecnologia de telecomunicação nas redes de distribuição de energia elétrica. Essa integração entre a tecnologia de telecomunicação e a rede de distribuição constitui um sistema conhecido como rede inteligente ou smart grid. Neste estudo são analisados os modelos de rede inteligentes mais significativos do mundo, os quais ainda se encontram em fase inicial. Na análise da implantação da rede inteligente em diversos países, observa-se a existência de diferentes motivações. Por exemplo, no caso norte-americano, trata-se dos esforços do setor de energia em garantir a confiabilidade no abastecimento. Na Europa, há um grande comprometimento com a redução de carbono e gases causadores do efeito estufa. No Brasil, busca-se uma estratégia para melhorar aspectos técnicos da distribuição, diminuir as perdas técnicas, eliminar ou reduzir o roubo de energia e ajustar a oferta de energia com o crescimento urbano e industrial, aprimorando a regulamentação sobre o setor. Além da ausência de padrões de telecomunicação, que se constitui em restrição para todos os projetos de smart grid, o Brasil apresenta grandes entraves para a implantação da rede inteligente, como as tarifas elevadas para os consumidores, as dificuldades para um despacho ótimo das unidades geradoras, o elevado volume de perdas no sistema elétrico, o baixo consumo de eletricidade em termos per capita, o elevado número de medidores a serem substituídos e as diferentes características das concessionárias. Com o objetivo de eliminar ou reduzir esses entraves, propõe-se neste estudo um modelo de negócio que determina, como mais significativos, os investimentos em tecnologia da comunicação e em medidores bidirecionais. O modelo proposto avalia uma série de benefícios, dentre os quais destacam-se a redução das perdas comerciais e a redução das ligações informais. Adicionalmente, o modelo pode colaborar na modernização da rede de distribuição e para o crescimento do Produto Interno Bruto com menores investimentos em geração e transmissão e, portanto, com responsabilidade ambiental. / This thesis aims at evaluating the economic perspective and business model of the telecommunications technology in the electric power distribution system. The integration between the telecommunications systems and the distribution electric grid constitutes a new system known as intelligrid or \"smart grid\". The analysis of the most important smart grid models in the world, which are still in initial stage, shows that different countries have different motivations for the smart grid deployment. For example, the deployment motivations in USA are mostly related to efforts of the power sector to ensure reliability of the energy supply. In Europe there is a big commitment to reduce carbon and greenhouse gases. In Brazil a strategy is being sought to improve the electric power distribution grid, reduce technical losses, eliminate or reduce the theft of electricity, and match energy supply to urban and industrial growth, improving regulation of the power sector. In addition to the lack of telecommunications standards, which is a constraint for all smart grid projects, in Brazil there are high barriers to the smart grid deployment, such as high tariffs to consumers, difficulties for an optimal dispatch of generating units, a high volume of losses in the electrical system, a low per capita electricity consumption, a large number of meters to be replaced, and the different profiles of the electric power distribution companies. Aiming at eliminating or reducing such barriers, a business model framework is proposed, which determines investments in communications technology and in two-way meters as the most significant ones. The proposed model evaluates a number of benefits, among which the most important are the reduction of commercial losses and the reduction of informal connections to the mains. Additionally, the model can assist in upgrading the power distribution system and the growth of GDP with lower investments in generation and transmission, and, therefore, with environmental responsibility.

Devido à mudança de paradigma originada pela evolução das redes elétricas inteligentes (Smart Grid), surgiram novos requisitos em automação de subestações de distribuição, sobretudo envolvendo operação, monitoramento, controle e proteção. Um nível mais avançado de automação é esperado na rede de distribuição com implementações do conceito de Smart Grid. O objetivo dos próximos sistemas de automação da distribuição é aperfeiçoar o uso dos recursos computacionais disponíveis, objetivando aumentar a disponibilidade do sistema elétrico, a qualidade da energia e a eficiência das concessionárias. E nessa nova realidade, a troca de informação entre os vários sistemas de informação de uma empresa do setor elétrico não é apenas desejada, mas, na maioria dos casos, necessária. Nesse contexto, se propõe uma arquitetura computacional capaz de transferir todas as informações geradas a partir da implementação de funcionalidades \"inteligentes\" na subestação, envolvendo as funções de supervisão, controle, monitoramento e proteção das subestações de distribuição, para o centro de controle da concessionária (COS), o que não está previsto nos protocolos normalmente utilizados, como DNP, ICCP, e IEC 61850. Para atingir esse objetivo é feita a investigação sobre o uso dos padrões internacionais propostos na arquitetura de referência do IEC para realizar tal integração, mostrando a necessidade de modificação nos objetos de dados definidos. Com o intuito de avaliar a viabilidade da arquitetura proposta foi desenvolvido um protótipo dentro do programa de Pesquisa e Desenvolvimento (P&D) regulado pela ANEEL (Agência Nacional de Energia Elétrica), em parceria com a CPFL (Companhia Paulista de Força e Luz). Nesse protótipo foram desenvolvidos módulos com funcionalidades \"inteligentes\" que promovem a migração de funções do centro de controle para a subestação. Além disso, o protótipo também implementa serviços web (Web Services) que são responsáveis pela integração da informação, tornando a troca de informação independentemente da plataforma onde os serviços são implementados. O texto contempla as anotações que refletem os passos dessa implementação do protótipo, bem como o registro dos testes exigidos pelos trabalhos, os quais compreenderam a implementação das novas funcionalidades, com a obtenção e tratamento dos dados, e seu posterior envio ao centro de controle. / Due to the paradigm shift caused by the evolution of the power grids, resulting in a new concept of Smart Grid, new requirements in automation of distribution substations emerged, especially those involving the operation, monitoring, control and protection. A more advanced level of automation is expected in the distribution network with implementations of the concepts related to Smart Grid. The goal of the next distribution automation systems is to optimize the use of available resources, intending to increase the availability of the power system, the power quality and the efficiency of the utilities. In this new context, the exchange of information between the various information systems of an electrical utility is not only desired, but in most cases, necessary. In this context, it is proposed a computational architecture capable of transferring all the information generated from the implementation of \"smart\" functions in the substation, involving supervisory, control, monitoring and protection of distribution substations, to the utility control center (COS), which is not provided for in the protocols commonly used by the utility, such as DNP, ICCP, and IEC 61850. Research on the use of international standards proposed in the IEC reference architecture to achieve such integration is also performed, revealing the necessity of modifying the defined data model. A prototype was developed in a partnership with CPFL (Companhia Paulista de Força e Luz), in order to assess the feasibility of the proposed architecture, within the R&D program regulated by ANEEL (Brazilian Electric Power Agency). Modules have been developed with the \"smart\" features that promote migration of some control center functions to the substation. In addition, the prototype also implements web services that are responsible for the data integration, with the information being exchanged regardless of the platform where the services are implemented. The text includes notes reflecting the steps of this prototype implementation, as well as the tests required to validate the model, which comprised the implementation of those new features, obtaining and processing the data, and subsequent sending to the utility control center (DMS).

Este trabalho consiste em apresentar o desenvolvimento de um Smart meter, integrado a um analisador de qualidade de energia, para análise de distorções harmônicas, utilizando método de redes neurais artificiais embarcado em hardware. Tal Smart meter está incluído dentro dos conceitos de Smart Grid, que serão apresentados também neste trabalho. O intuito do desenvolvimento do Smart meter para análise de distorções harmônicas é auxiliar concessionárias de energia elétrica a identificar que tipo de carga o consumidor utiliza em sua residência, a fim de contribuir para a tomada de decisões apropriadas, tais como a diminuição da emissão de correntes harmônicas, demanda de energia, detecção de falhas no fornecimento de energia elétrica e faturas diferenciadas de acordo com a quantidade de harmônicas injetadas na rede elétrica. Adicionalmente, observou-se que o Smart meter desenvolvido pode ser ainda utilizado para detectar fenômenos de VTCD, como elevação, afundamento e interrupção de energia. Todo o processo de desenvolvimento do Smart meter é apresentado no decorrer desta tese de doutorado. / This thesis consists to present the development of a Smart Meter integrated to power quality analyzer for the analysis of harmonic distortion, using methods based on artificial neural networks in embedded hardware. This Smart Meter is included within the concepts of Smart Grid, which will be also presented in this work. The intention of the development of the Smart Meter for analysis of harmonic distortion is to assist utilities companies to identify what loads type the consumer uses at your residence in order to contribute for supporting decisions, such as reducing the emission of the harmonic currents, power demand and faults detection in electric energy supply and distinct bills according to the amount of harmonics injected into the power grid. In addition, it was observed that this developed Smart Meter can be even used to detect the VTCD phenomena, such as swell, sag and interruption of the energy supply. All development steps of this Smart Meter is presented in this doctoral thesis.

Submitted by Fernanda Ciolfi (fernanda.ciolfi@puc-campinas.edu.br) on 2016-08-11T18:46:02Z No. of bitstreams: 1 Alan Henrique Ribeiro dos Santos.pdf: 3411627 bytes, checksum: 9502463608d158f97139964de31fc083 (MD5) / Made available in DSpace on 2016-08-11T18:46:02Z (GMT). No. of bitstreams: 1 Alan Henrique Ribeiro dos Santos.pdf: 3411627 bytes, checksum: 9502463608d158f97139964de31fc083 (MD5) Previous issue date: 2016-06-24 / The increasing technological advances will allow a transformation in the electricity sector, until then, little changed since its implementation, however, this scenario has changed mainly by power generation growth through renewable matrices. The concept Smart Grid has provided significant changes mainly in the basic distribution networks with the inclusion of Information and Communication Technology (ICT), enabling monitoring and control of the grid, but effective and even allowing for the integration of Generation, Transmission and Distribution Power. The utilization of intelligent sensors and automation and control devices will also enable reduction of errors in decision making caused by human error, yet very common in the industry. The quality of electricity supply is currently topic extensively explored and of great importance to the utilities that are concerned with improving the quality of the product delivered to their consumers. This work aims to develop a sensor of long and short duration voltage variation, these are phenomena that are present in the electricity networks and affect the power supply to both industrial customers and to residential consumers, yet it is of great importance that devices intelligent be developed to integrate the distribution network for the generation of data, the main objective is to develop a low-cost sensor for identification and records of these phenomena. To communicate with the supervisory system, the sensors use a wireless telecommunications infrastructure, IEEE 802.11, based on urban Wi-Fi technology, this way the data is sent to a monitoring station reporting any faults captured by the sensors. / O crescente avan?o tecnol?gico permitir? uma transforma??o no setor el?trico, at? ent?o pouco modificado desde a sua implanta??o, no entanto, este cen?rio tem se modificado principalmente pelo crescimento da gera??o de energia atrav?s de matrizes renov?veis. O conceito Smart Grid tem propiciado grandes modifica??es principalmente nas redes de distribui??o b?sica com a inser??o de Tecnologia da Informa??o e Comunica??o (TIC), possibilitando monitoramento e controle mais efetivos da rede el?trica, e at? mesmo possibilitando a integra??o entre a Gera??o, Transmiss?o e Distribui??o de energia. A utiliza??o de sensores inteligentes e dispositivos de automa??o e controle ainda permitir? a redu??o de erros em tomadas de decis?o causadas por falhas humanas, ainda muito comuns no setor. A qualidade do fornecimento de energia el?trica ? t?pico atualmente bastante explorado e de grande import?ncia para as concession?rias que est?o preocupadas em melhorar a qualidade do produto entregue a seus consumidores. Este trabalho tem como objetivo desenvolver um sensor de varia??o de tens?o para redes de baixa tens?o utilizando redes sem fio WI-FI 802.11, estes, s?o fen?menos que est?o presentes nas redes el?tricas e afetam o fornecimento de energia tanto a consumidores industriais como a consumidores residenciais, contudo ? de grande import?ncia que dispositivos inteligentes sejam desenvolvidos de forma a integrar-se ? rede de distribui??o para a coleta de dados. O principal objetivo ? desenvolver um sensor de baixo custo para identifica??o e registros destes fen?menos. Para comunicar-se com o sistema supervis?rio, os sensores utilizar?o uma estrutura de telecomunica??es sem fio, IEEE 802.11, baseado em tecnologia Wi-Fi urbana, desta forma os dados ser?o enviados a uma Central de Monitoramento informando eventuais falhas captadas pelos sensores.

Made available in DSpace on 2017-07-10T17:11:50Z (GMT). No. of bitstreams: 1 LUCIANO MAURO ARLEY SUP2.pdf: 2686269 bytes, checksum: 28a697be163c9a8e1f7c5d0c8abc16b6 (MD5) Previous issue date: 2012-04-20 / This work presents a physical and logical architecture of an intelligent Micro-Grid in order to perform the integrated energy management of the various distributed energy resources (REDs) of an organization. In this way, it is initially proposed an Integrated Energy Management System (SGIE), through which defines the action strategies for the supervision and control of the REDs, which identifies the needs and requirements to be met by the technology architecture. Subsequently, the document presents the concepts of Micro-Grid and how the monitoring and control system would help in the efficient and effective use of various energy resources in production, transformation or end use, to ensure that they are integrated into the operation of Micro-Grid. The presented paradigm is framed in new vision of power systems, known as Smart Grid. These smart grids might be formed from the union of several sub-networks package, called Smart µGrid, whose main concepts, requirements and technologies necessary to build are presented. Finally, it is presented a proposal for a Smart µGrid architecture, set in the Itaipu Technological Park, which aims to meet the need of its SGIE, but basically it is thought to work as a living laboratory in which it will be possible to learn concepts of smart grid acting on it. / No presente trabalho apresenta-se uma arquitetura física e lógica de uma microrrede inteligente com o objetivo de realizar a gestão integral da energia dos diversos Recursos Energéticos Distribuídos (REDs) de uma organização. Nesse sentido, inicialmente é proposto um Sistema de Gestão Integral da Energia (SGIE), através do qual são definidas as estratégias de atuação para a supervisão e controle dos REDs, o que permite identificar as necessidades e requisitos a serem atendidos pela arquitetura tecnológica.Posteriormente o trabalho apresenta os conceitos de microrredes e como o sistema de monitoramento e controle contribuiria no gerenciamento eficiente, efetivo e eficaz dos diversos recursos energéticos, seja na produção, na transformação ou no uso final, buscando que os mesmos estejam integrados à operação da microrrede. O paradigma apresentado está enquadrado na nova visão dos sistemas elétricos, conhecida como Smart Grid ou rede inteligente. Essas redes inteligentes podem ser formadas a partir da união de bolsões de sub-redes, denominadas Smart µGrid, das quais são apresentados os principais conceitos, requisitos e tecnologias viabilizadoras. Finalmente, é apresentada a proposta de arquitetura para uma Smart µGrid, ambientada no Parque Tecnológico Itaipu, a qual tem a finalidade de atender as necessidades do SGIE do mesmo, porém, fundamentalmente, o que se busca é que funcione como um laboratório vivo, através do qual será possível apreender conceitos de Smart Grid atuando sobre ela.

La gestion d’énergie est un sujet de plus en plus important dans notre société. Nous faisons actuellement face à un nombre croissant de problèmes tels que l’épuisement des réserves pétrolières, le réchauffement climatique ou encore la diminution de la qualité de l’énergie (principalement due aux coupures pendant les pics de consommation). Les smartgrids sont une des solutions à ces problèmes. En ajoutant une communication bidirectionnelle et de nouvelles capacités en matière de technologies de l’information et de la communication, il est possible de créer un système autonome de gestion intelligente de l’énergie.Les travaux décrits dans ce mémoire s'intéressent particulièrement à la gestion des microgrids à l'aide de systèmes multi-agents (SMA). Les microgrids sont des réseaux de faibles puissances, composés de petits producteurs d’énergie décentralisés (éventuellement renouvelables) et de consommateurs. Ces réseaux peuvent être reliés (ou non) au réseau global ce qui ajoute à leur complexité. De par leurs complexités et leurs répartitions géographiques, les smartgrids, comme les microgrids, ne peuvent pas être gérés facilement par des systèmes centralisés. Les intelligences artificielles distribuées et plus particulièrement les SMA apparaissent comme un moyen cohérent de résoudre les problèmes liés aux smartgrids.Dans un premier temps, nous avons défini une approche mettant en oeuvre des boucles de rétroaction. Une boucle de rétroaction apparaît dans les systèmes complexes qui peuvent être définis avec plusieurs niveaux d'abstraction. Deux niveaux sont ainsi en interaction. Le niveau micro regroupe un ensemble d'agents ayant des comportements qui, une fois combinés, influeront sur l'état du système. Le niveau macro traite ces influences pour définir un nouvel état du système qui influera sur le comportement des agents du niveau micro. Cette boucle de rétroaction permet de séparer les comportements sur plusieurs niveaux.Cette approche est utilisée pour définir un problème de gestion offre-demande dans un microgrid. Ce problème permet de prendre en compte un ensemble d'objectifs qui sont actuellement traités de manière indépendante. Enfin, une application utilisant un SMA a été développée. Cette approche peut s'intégrer dans ce problème. Elle a pour but d'assurer la stabilité du réseau à tout instant grâce au contrôle de systèmes de stockage.Dans un second temps, un simulateur de réseau électrique permettant le contrôle dynamique des périphériques a été développé. Ce simulateur repose sur trois grands principes. Le premier est une modélisation à base d’agents du simulateur lui-même, pour représenter la complexité des réseaux électriques. Le second principe repose sur l’utilisation du paradigme holonique afin de prendre en compte les multiples niveaux inhérents aux réseaux électriques. Enfin, le troisième principe est inspiré du modelé influence/réaction et propose une technique qui permet de gérer les actions simultanées, éventuellement conflictuelles, au sein des SMA. / Energy management is, nowadays, a subject of uttermost importance. Indeed, we are facing growing concerns such as petroleum reserve depletion, earth global warming or power quality (e.g. avoiding blackouts during peak times). Smart grids is an attempt to solve such problems, by adding to power grids bidirectional communications and ICT capabilities in order to provide an intelligent autonomic management for the grid.This thesis focuses on the management of microgrids thanks to multiagent systems (MAS). Microgrids are low-power networks, composed of small and decentralized energy producers (possibly renewable) and consumers. These networks can be connected to the main grid or islanded, this make them more complex. Due to their complexity and their geographical distribution, smart grids and microgrids can not be easily managed by a centralized system. Distributed artificial intelligences especially MAS appear to be a solution to resolve problems related to smart grids.Firstly we defined an approach implementing feedback loops. These feedback loops exist in complex systems which can be defined with several abstraction levels. Two levels are interacting. The micro-level contains a set of agents owning behaviours that can be combined. The result of the combination imapct the state of the system. The macro-level processes these influences to define a new state of the system which will imapct the agents behaviours at the micro-level.This feedback loop separates behaviours on several levels.This approach is used to defined a demand and supply matching problem in microgrid. This problem afford to manage a set of goals which currently are independently processed. Finally, an application is developed using MAS that ensures grid stability thanks to storage systems. This application was thought to be integrated to the approach detailed above.Secondly, a grid simulator id developed. This simulator allows dynamic control of devices. It is based on three main principles.• An agent-based model of the simulator to represent the complexity of electrical networks. • The use of the holonic paradigm to take into account the multiple levels inherent to power grids. • The use of the influence/reaction model and offers a technology that can manage simultaneous actions, possibly conflicting, in MAS.

Dans le domaine des réseaux de distribution d'électricité, l'ouverture du marché de l'énergie à la concurrence et l'insertion massive des génératrices décentralisées d'énergie de ces dernières années conduisent à une profonde modification du fonctionnement et de l'exploitation des réseaux. Dans ce contexte, des solutions de pilotage de la consommation et de la production doivent être apportées, afin de permettre au réseau actuel d'accueillir les nouvelles unités de production et les charges de demain, telles que les panneaux photovoltaïques, les micro-éoliennes, la cogénération, les véhicules électriques, les maisons intelligentes, etc. Ces pilotages permettent d'influencer la consommation et la production instantanées des utilisateurs du réseau. Ainsi, il devient possible d'agir sur la consommation de façon à lisser les pics ou synchroniser la demande aux périodes de forte production des énergies renouvelables. De la même façon, la production peut être pilotée pour participer aux services systèmes. Ces stratégies de pilotage, basées sur l'utilisation des nouvelles technologies de l'information et de la communication, ont pour objectifs d'éviter une dégradation de la qualité de l'onde de tension et une reconstruction complète du réseau de distribution, qui serait économiquement très couteuse. Ces travaux, intégrés au projet GreenLys, financé par l'agence française de l'environnement et de la maitrise de l'énergie, évaluent l'impact des génératrices décentralisées d'énergie et des véhicules électriques sur le réseau de distribution, puis développent des solutions de pilotage. Deux types de pilotage sont étudiés : le pilotage de la phase de raccordement d'une installation monophasée, puis le pilotage de la puissance réactive des génératrices décentralisées d'énergie. Ces pilotages sont développés en s'appuyant sur les nouveaux composants des réseaux électriques de demain, comme les compteurs intelligents. Dans une dernière partie, les stratégies de pilotage développées sont évaluées sur des équipements réels à partir d'une plateforme de simulation hybride temps réel. / In the electricity distribution network field, because of the electricity market opening and the large-scale insertion of dispersed generators (DJ) in these last years, the network undergoes radical modification in both operation and exploitation. In this context, some new integration solutions are invented in order to be able to connect the DJ, as photo-voltaic panels, micro wind turbines, cogeneration units, etc, and the new loads, as electric vehicles and smart home, without reduce the voltage wave quality or involve a very expensive power systems reinforcement. The objectives of those solutions are to influence the consumer consumption in order to reduce the peak consumption level and shift the consumption on the high renewable production period, and control the DJ output to participate to the service system. The new information and communication technologies (NICT) are strongly used in the development of those control strategies. This PhD work is including in the French project GreenLys supported by the French environment and energy management agency. GreenLys is a 4 years project focus on the development of a real scale Smart Grid in the two French cities Lyon and Grenoble. As a first step, this work evaluating the impact of the DJ and the electric vehicle on the distribution network. From the result of this impact study, two types of decentralized control strategies are investigated. The first one is focus on the phase connection. Since the majority of consumers and DJ connected on the distribution grid are single phases, methods allowing to choose the best phase connection are study. The second one is focus on new DJ reactive power control strategies. In the last part, the strategies are evaluated on a Power Hardware In the Loop simulation and real solar inverter.