Electric vehicle charging stations (EVCS) play a vital role in providing charging support to EV users. In order to facilitate users in terms of charging speed and price, two different charging modes (L2 and L3) are currently available at public charging stations. L3 mode provides quick charging with higher power, whereas L2 mode offers moderate charging speed with low power. The integration of an EVCS into the power grid requires coordinated charging strategies in order to reduce the electricity bill for a profitable operation. However, the effective utilization of the multi-mode charging strategy to serve the maximum number of EVs for a small charging station with limited charging capacity and spots is an open issue. To this end, we propose a priority-based online charging scheme, namely PBOS, which is based on real-time information and does not depend on future knowledge. The objective is to serve as many vehicles as possible in a day while fulfilling their charging requirements under a multi-mode EVCS setting and reducing the charging costs by utilizing the time-of-use pricing based demand response strategy. Extensive simulation is done while considering two different demand response strategies under various settings. The results show that the proposed algorithm can increase profit for the EVCS by up to 48\% with a 22\% lower rejection rate. In addition, it can serve EVs with a low battery charge, known as state of charge (SOC), up to 11\% higher than most of the other schemes and can save up to 81.75 minutes to attain the same SOC when compared with other schemes. / Graduate

Due to the rapid growth of urban areas, sustainable urbanization is an inevitable task for city planners to address major challenges in resource management across different sectors. Sustainable approaches of energy production, distribution, and consumption must take the place of traditional methods to reduce the negative impacts of urbanization such as global warming and fast consumption of fossil fuels. In order to enable the transition of cities to sustainable ones, we need to have a precise understanding of the city dynamics. The prevalence of big data has highlighted the importance of data-driven analysis on different parts of the city including human movement, physical infrastructure, and economic activities. Sustainable urban mobility (SUM) is the problem domain that addresses the sustainability issues in urban areas with respect to city dynamics and people movements in the city. Hence, to realize an integrated solution for SUM, we need to study the problems that lie at the intersection of energy systems and mobility. For instance, electric vehicle invention is a promising shift toward smart cities, however, the impact of high adoption of electric vehicles on different units such as electricity grid should be precisely addressed. In this dissertation, we use data analytics methods in order to tackle major issues in SUM. We focus on mobility and energy issues of SUM by characterizing transportation networks and energy networks. Data-driven methods are proposed to characterize the energy systems as well as the city dynamics. Moreover, we propose anomaly detection algorithms for control and management purposes in smart grids and in cities. In terms of applications, we specifically investigate the use of electrical vehicles for personal use and also for public transportation (i.e. electric taxis). We provide a data-driven framework to propose optimal locations for charging and storage installation for electric vehicles. Furthermore, adoption of electric taxi fleet in dense urban areas is investigated using multiple data sources. / Ph. D.

Os smart grids são tidos como a nova geração dos sistemas elétricos de potência, combinando avanços em computação, sistemas distribuídos e inteligência artificial para prover maiores funcionalidades sobre acompanhamento em tempo real da demanda e do consumo de energia elétrica, gerenciamento em larga escala de geradores distribuídos, entre outras, a partir de um sistema de controle distribuído sobre a rede elétrica. Esta abordagem alteraria fundamentalmente a maneira como se dá o planejamento e a operação de sistemas de distribuição, e há grandes possibilidades de pesquisa e desenvolvimento possibilitada pela busca de implementação destas funcionalidades. Com esse cenário em vista, o presente trabalho utiliza uma abordagem a partir do uso de sistemas multiagentes para estudar o gerenciamento de sistemas de distribuição, do ponto de vista da reconfiguração da topologia da rede, simulando as características de um smart grid. Nesta dissertação, foi desenvolvido um sistema multiagente para simulação computacional de um sistema de distribuição elétrico do tipo smart grid, buscando executar a reconfiguração topológica do sistema a partir de dados de carga capturados de forma distribuída pelos agentes dispersos na rede elétrica. Espera-se que o desenrolar da pesquisa conduza à vários estudos sobre algoritmos e técnicas que melhor implementem tais funcionalidades a serem transpostas para um ambiente de produção. / Smart grids are taken as the new generation of electric power systems, combining advances in computing, distributed systems and artificial intelligence to provide more features on real-time monitoring of demand and consumption of electricity, managing large-scale distributed generators, among others, from a distributed control system on the grid. This approach fundamentally alter the way how is the planning and operation of distribution systems, and there are great possibilities for research and development offered in the quest to implement these features. With that environment, this text uses an approach through the use of multi-agent systems to study the management of the distribution system, from the reconfiguration of grid topology, simulating the characteristics of a smart grid. In this text, was developed a multiagent system to computational simulation of a distribution system like smart grid to topological reconfiguration, from datas collected for agents in electrical grid. It is expected that the conduct of research leads to several studies about better algorithms and techniques that would implement such functionality in a production environment.

Os smart grids são tidos como a nova geração dos sistemas elétricos de potência, combinando avanços em computação, sistemas distribuídos e inteligência artificial para prover maiores funcionalidades sobre acompanhamento em tempo real da demanda e do consumo de energia elétrica, gerenciamento em larga escala de geradores distribuídos, entre outras, a partir de um sistema de controle distribuído sobre a rede elétrica. Esta abordagem alteraria fundamentalmente a maneira como se dá o planejamento e a operação de sistemas de distribuição, e há grandes possibilidades de pesquisa e desenvolvimento possibilitada pela busca de implementação destas funcionalidades. Com esse cenário em vista, o presente trabalho utiliza uma abordagem a partir do uso de sistemas multiagentes para estudar o gerenciamento de sistemas de distribuição, do ponto de vista da reconfiguração da topologia da rede, simulando as características de um smart grid. Nesta dissertação, foi desenvolvido um sistema multiagente para simulação computacional de um sistema de distribuição elétrico do tipo smart grid, buscando executar a reconfiguração topológica do sistema a partir de dados de carga capturados de forma distribuída pelos agentes dispersos na rede elétrica. Espera-se que o desenrolar da pesquisa conduza à vários estudos sobre algoritmos e técnicas que melhor implementem tais funcionalidades a serem transpostas para um ambiente de produção. / Smart grids are taken as the new generation of electric power systems, combining advances in computing, distributed systems and artificial intelligence to provide more features on real-time monitoring of demand and consumption of electricity, managing large-scale distributed generators, among others, from a distributed control system on the grid. This approach fundamentally alter the way how is the planning and operation of distribution systems, and there are great possibilities for research and development offered in the quest to implement these features. With that environment, this text uses an approach through the use of multi-agent systems to study the management of the distribution system, from the reconfiguration of grid topology, simulating the characteristics of a smart grid. In this text, was developed a multiagent system to computational simulation of a distribution system like smart grid to topological reconfiguration, from datas collected for agents in electrical grid. It is expected that the conduct of research leads to several studies about better algorithms and techniques that would implement such functionality in a production environment.

Les smart grids sont considérés comme un moyen efficace pour accueillir plus largement des énergies renouvelables, de mieux maitriser la demande, d’améliorer les conditions d’exploitation du système électrique, d’augmenter sa performance et de faciliter le développement des nouveaux usages tels que le véhicule électrique. Cependant, ces bénéfices potentiels du smart grid sont également porteurs d’incertitudes pour le système électrique ainsi que pour ses acteurs. Ces incertitudes sont de nature technologique, économique, sociale, politique, entre autres.La thèse s’inscrit dans le cadre du projet GreenLys (un démonstrateur smart grid adressant des innovations allant du producteur d’énergie jusqu’au consommateur en incluant les acteurs du réseau électrique de transport et de distribution). Elle a pour objectif de proposer des paliers techniques et économiques de transition vers le smart grid à l’horizon 2050.Dans la perspective de cette thèse, trois incertitudes qui peuvent influencer considérablement les stratégies des investissements futurs sont traitées dans trois modèles séparés. Les trois modèles sont appliqués aux scénarios de GreenLys (un scénario conservateur ‘Grenelle’ qui respecte les engagements énergétiques européens et un scénario plus ambitieux ‘100% EnR’ qui vise une production électrique totalement renouvelable) pour proposer des paliers d’investissements smart grid et des recommandations. Premièrement, l’incertitude portant sur la régulation du réseau public de distribution est étudiée dans un modèle utilisant une approche d’options réelles combiné avec un algorithme logique floue. Deuxièmement, une approche d’options réelles basée sur un arbre binomial classique est utilisée pour analyser l’incertitude sur l’évolution du gisement de flexibilité. Enfin, l’incertitude portant sur les coûts systèmes d’informations est modélisée dans un algorithme basé sur un processus de Monte-Carlo. / Smart grids are seen as an adequate way to facilitate the penetration of renewable energies, to improve the electrical power system operating conditions, to increase its performance and to promote the development of new uses such as the electric vehicle. However, the potential benefits of smart grids come with uncertainties for the electrical power system itself and for its players as well. These uncertainties are technological, economic, social, political, among others.The thesis is part of GreenLys experimentations. GreenLys is a demonstrator project which tests the operation of a smart grid over the whole electricity supply chain: from the producer to the end consumer, including all those involved in the transportation, distribution and supply of electricity. This thesis aims to provide technical and economic transition towards smart grid by 2050.In the context of this thesis, three uncertainties are considered, each within a separated model. These uncertainties can significantly influence the strategies of future investments of smart grid. The developed models are applied to GreenLys scenarios (a conservative scenario that respects the European energy commitments called 'Grenelle' and an ambitious scenario that considers electricity production is fulfilled from renewables called '100%EnR') in order to propose some investment strategies and recommendations for smart grid.Firstly, the uncertainty about the future regulation of the public distribution network is studied in a model using a real option approach combined with a fuzzy logic algorithm. Secondly, a real option approach based on the classic binomial tree is used to analyze the uncertainty about the evolution of electrical loads flexibility. Finally, the uncertainty about the costs of smart grid information systems (Software) is modeled using a statistical Monte Carlo process.The results of the models developed in this thesis are combined and analyzed within techno-economic framework in order to spot the best smart grids deployment strategy with respect to GreenLys scenarios and experimentation zone. The highlighted strategies optimize the economic value of the investment while minimizing future risks.

Les engagements étatiques relatifs au secteur du transport promouvoient lapopularisation des véhicules rechargeables conformément aux exigences actuelles qu’ellessoient environnementales, techniques ou encore économiques. Ipso facto, ces travaux dethèse, assimilés à la thématique des Smart Grids, exposent une contribution à une gestionorientée du tryptique réseaux électriques, véhicules rechargeables et secteurs résidentiels.La première étape du travail consiste en l’évaluation des impacts liés à un taux de pénétrationélevé. Les travaux se sont ensuite focalisés sur deux problèmes importants qui sont latenue du plan de tension et le vieillissement accéléré des transformateurs de distributionHTA/BT, plus particulièrement ceux alimentant des secteurs résidentiels. Partant, desstratégies de modulation de la charge des batteries embarquées sont proposées et évaluées.Dans une seconde partie, en se basant sur l’hypothèse de bidirectionnalité énergétique duvéhicule électrique hybride rechargeable (Plug-in Hybrid Electric Vehicle - PHEV), estexploré les possibilités d’effacement de pointe et de diminution des puissances souscrites ;conformément au concept Vehicle-to-Home. Les aspects économiques ne sont pas évacués ;à ce titre la minimisation de la facture énergétique d’un logement fait l’objet d’un regardparticulier sous contrainte d’une tarification variable, le V2H servant de levier. Le véhiculebidirectionnel est enfin mis à contribution via une algorithmique adaptée à des fins deréglage du plan de tension et contribue ainsi au concept Vehicle-to-Grid. / The national commitments concerning terrestrial transport are promotingrechargeable vehicles according to actual environmental, technical or economicexigencies. To this end, the contribution of this thesis, related to the Smart Grids, coverssimultaneously the fields of electric utility grids, rechargeable vehicles, and residentialareas. The first step consists in the assessment the impacts caused by a highpenetration level. The research then focuses on two major problems : the voltage plan andthe aging rate of low voltage transformer, particularly those supplying residential areas.Therefore, unidirectional Plug-in Hybrid Electric Vehicles (PHEVs) charging strategieshave been proposed and evaluated. In the second part, based on the bidirectional PHEV,the possibility of consumption peak shaving and decrease of subscription contracts bothunder the concept Vehicle-to-Home are explored. The economics aspects are notignored, so a particular attention is paid of energy cost minimization for a housing undervariable pricing of energy constraint. The bidirectional vehicle is finally used in an adaptedalgorithmic for voltage plan control, thus contributing to the concept Vehicle-to-Grid.

Avec la montée de la connectivité entre les appareils (internet des objets), nouvelles possibilités de coordination entre les différentes entités ont ouvert. En même temps, des résultats récents, issus de la théorie de l'information, ont fourni des limites pour la performance optimale que tout système de coordination pourrait atteindre sous certaines structures d'information. Dans cette thèse, nous développons ces résultats théoriques dans le but de les rendre plus facilement applicable aux problèmes pratiques. À cet égard, la contribution de cette thèse est double : 1) En outre développer les résultats théoriques pour fournir un aperçu de la structure des solutions au problème d'optimisation posés dans les travaux antérieurs, ainsi que la généralisation des résultats. 2) Développer des algorithmes qui exploitent le cadre théorique fourni par les travaux antérieurs pour concevoir des mécanismes de coordination pratiques, décentralisées et robustes. La généralité de l'approche se prête à diverses applications, dont les éléments suivants ont été traités: optimisation de puissance dans les réseaux sans fil, planification de la consommation d'énergie dans les applications de réseau intelligent, ainsi que Witsenhausen contre-exemple, un problème important issu de la théorie du contrôle. Diverses possibilités sont encore à venir pour exploiter le cadre et les outils développés ici. En effet, ils pourraient être utiles même dans des domaines qui ne sont pas abordés dans cette thèse, mais qui nécessitent une coordination entre les agents avec des informations différentes à la disposition de chacun. / With the rise in connectivity between appliances (Internet of Things), new avenues for coordination between various entities have opened up. At the same time, recent information theoretical results have provided bounds for the performance that any coordination scheme could achieve under certain information structures. In this thesis, we further develop those information theoretical results with the aim of making them applicable more easily to practical problems. In this regard, the contribution of this thesis is twofold: 1) Further developing the aforementioned information theoretical results to provide insights into the structure of the solutions to optimization problem posed in them, as well as generalizing some results. 2) Developing algorithms which exploit the theoretical framework provided by Information theory to devise practical, decentralized and robust coordination schemes. The generality of the approach lends itself to various applications, of which the following were treated: power optimization in wireless networks, power consumption scheduling in smart grid applications, as well as Witsenhausen counterexample, an important toy problem in control theory. Various opportunities still lie ahead to exploit the framework and tools developed herein. Indeed, they could be useful even in domains which have not been explored in this thesis but which require coordination between agents with different information available to each.

Die vorliegende Dissertation untersucht die Stabilität und Regelung von Stromnetzen mit hohem Anteil Erneuerbarer Energien (EE). Dabei stehen drei Forschungsfragen, zu den neuartigen Herausforderungen für die zukünftige Stromnetzstabilität im Zuge der Energiewende, im Vordergrund. Erstens soll untersucht werden wie die Resilienz von Stromnetzen gemessen und im zweiten Schritt auch verbessert werden kann. Dabei zeige ich den notwendigen Detailgrad für transiente Stabilitätsuntersuchungen auf. Die zweite Frage lautet wie, trotz des zunehmenden Ausbaus von EE in Verteilnetzen, die statische Spannungsstabilität garantiert und Leitungsüberlastungen verhindert werden können. Hierfür analysiere ich mit einem konzeptionellen hierarchischen Verteilnetzmodell das zukünftige Potential für die Erzeugung von Blindleistung aus dezentralen Ressourcen am Beispiel Deutschlands. Die dritte Frage, wie eine dynamisch-stabile Integration von EE möglich ist, bildet den Hauptfokus meiner Dissertation. Dabei untersuche ich wie neuartige dynamische Aspekte EE, wie intermittente Fluktuationen oder auch Mess- und Reaktionszeiten von Leistungselektronik, die dynamische Netzstabilität beeinflussen und wie mögliche Instabilitäten durch Konzepte der Nachfragesteuerung behoben werden können. Dabei stoße ich bei der Analyse lokaler intermittenter Fluktuationen in ohmschen Verteilnetzen auf ein bemerkenswertes Wechselspiel zwischen Eigenschaften der Netzdynamik und -topologie. Als Zweites zeige ich wie mit der Einführung von Leistungselektronik und den damit verbundenen Mess- und Reaktionszeiten Resonanzkatastrophen hervorrufen werden können. Schließlich präsentiere ich wie die dezentrale Nachfragesteuerung von Elektroautos dynamische Instabilitäten, hervorgerufen durch Fluktuationen von EE, bereinigen kann. Zusammenfassend behandelt diese Arbeit verschiedene Aspekt zur Stabilität zukünftiger Stromnetze und integriert dabei sukzessive neuartige dynamische Aspekte von EE. / This PhD thesis is centered around the "Stability and Control of Power Grids with high Renewable Energy Share". With a conceptual modelers approach, I tackle three overarching questions related to the novel challenges the energy transition poses for the stability of future power grids. The first question focuses on how to measure and subsequently improve the resilience of a power grid. Here, I contribute important insights on the necessary model detail for transient stability assessments. The second question concerns how to ensure static voltage stability and avoid capacity overloading while the deployment of Renewable Energy Sources (RES) in the distribution grid layers is massively increasing. As a possible solution to this problem I analyze the future technical potential of reactive power provision from decentral resources in Germany. The third question, and main focus of this thesis, is on how to integrate renewable energies in a dynamically stable way. Specifically, I investigate the influence of intermittent RES and measurement delays from power electronic resources on frequency stability and how the latter can be restored by concepts of demand control. First, for local intermittent fluctuations in lossy distribution grids I find a remarkable and subtle but robust interplay of dynamical and topological properties, which is largely absent for lossless grids. Second, I show how delays may induce resonance catastrophes and how the existence of critical delays sets an upper limit for measurement times. Third and last, I present how the right parameterization of decentral electric vehicle control can completely overcome issues of short-term dynamic instability related to RES fluctuations. This control avoids demand synchronization and high battery stress. Altogether, this thesis investigates the stability of future power grids moving towards integrating more aspects of renewable energy dynamics. Finally, I point out open questions to encourage further research.

O presente trabalho visa propor uma metodologia para desenvolvimento e aplicação de um inovador emulador de redes elétricas inteligentes (REIs) para testes sistêmicos de funcionalidades de Smart Grids envolvendo dispositivos inteligentes (hardware) e sistemas de tecnologia da informação (software) em ambiente laboratorial. Além de dar uma dimensão da importância dos laboratórios de redes elétricas inteligentes para a pesquisa do tema, o levantamento bibliográfico apresentado neste trabalho permite concluir que as pesquisas envolvendo hardware-in-the-loop (HIL) tendem a concentrar suas análises nos equipamentos de hardware testados, como dispositivos de medição, equipamentos de potência (inversores de frequência e outros), dispositivos de controle e seus algoritmos e não em estudos que envolvam análises mais sistêmicas e interações dos dispositivos com sistemas de TI normalmente presentes nos Centros de Operação da Distribuição (COD), os quais cumprem papéis cada vez mais importantes nas funcionalidades de Redes Inteligentes. A metodologia proposta parte da premissa de que um ambiente para testes de funcionalidades de Smart Grids deve permitir análises sistêmicas, não apenas focadas nos dispositivos de controle de uma porção particular da rede ou sistemas de automação específicos, mas devem envolver a maior porção de rede possível e necessária para a correta representação das redes elétricas inteligentes. Neste sentido, a metodologia define e caracteriza os principais módulos e etapas de desenvolvimento de um emulador de redes elétricas inteligentes, ao mesmo tempo em que propõe soluções para os desafios de integração destes módulos, aplicando conceitos de hardware-in-the-loop, software-in-the-loop (SIL), e simulação com sincronização orientada a evento, além de propor soluções com simulação de sistemas de potência em regime permanente e hardware de baixo custo que permitiram o desenvolvimento do emulador de redes em laboratório de Smart Grid. As principais características do emulador de REIs desenvolvido e implementado no laboratório de Smart Grid, conforme a metodologia proposta, também são descritas neste trabalho. Por fim, são apresentados os casos teste, mais especificamente provas de conceito, envolvendo redes de teste IEEE/PES e redes reais das concessionárias do grupo EDP, financiador do projeto de implantação do laboratório no âmbito do Programa de P&D ANEEL, os quais serviram de base para a avaliação do desempenho do emulador e discussões finais sobre as contribuições da metodologia de desenvolvimento proposta neste trabalho. / This work aims to proposing a methodology for the development and application of an innovative Smart Grid emulator for systemic testing of Smart Grids functionalities involving intelligent devices and information technology systems in a laboratory environment. Besides demonstrating the importance of the Smart Grid for the subject research, the literature review clarifies that the research involving hardware-in-the-loop (HIL) tends to concentrate its analyses in the equipment under test, such as power devices, control devices and their algorithms. Instead, it should consider systemic studies involving the interaction of these devices with Operation Centre IT systems, so relevant to the Smart Grid functionalities. The proposed methodology is based on the premise that an environment for testing Smart Grids functionalities should allow systemic analysis instead of focusing only on control devices of a specific area or specific automation systems. Instead, it should involve a more detailed representation of the network that is necessary for the correct representation of the Smart Grid. In this direction, the methodology defines and characterizes the development stages and main modules of a Smart Grid emulator and proposes solutions for integration issues. It applies concepts of hardware-in-the-loop, software-in-the-loop (SIL), simulation with event-driven synchronization, besides steady-state power simulation and low-cost hardware solutions that enabled the development of the Power grid emulator at a Smart Grid laboratory. The main features of the Smart Grid emulator developed and implemented at the Smart Grid laboratory, according to the proposed methodology, are also described in this work. Finally, the description of the Smart Grid laboratory, test cases and proofs of concepts involving IEEE/PES test feeders and real networks of the EDP utility, sponsor of the project for laboratory implementation under the ANEEL R&D Program, are presented to prove the Emulator performance and to discuss the contribution of the methodology herein proposed.

O presente trabalho visa propor uma metodologia para desenvolvimento e aplicação de um inovador emulador de redes elétricas inteligentes (REIs) para testes sistêmicos de funcionalidades de Smart Grids envolvendo dispositivos inteligentes (hardware) e sistemas de tecnologia da informação (software) em ambiente laboratorial. Além de dar uma dimensão da importância dos laboratórios de redes elétricas inteligentes para a pesquisa do tema, o levantamento bibliográfico apresentado neste trabalho permite concluir que as pesquisas envolvendo hardware-in-the-loop (HIL) tendem a concentrar suas análises nos equipamentos de hardware testados, como dispositivos de medição, equipamentos de potência (inversores de frequência e outros), dispositivos de controle e seus algoritmos e não em estudos que envolvam análises mais sistêmicas e interações dos dispositivos com sistemas de TI normalmente presentes nos Centros de Operação da Distribuição (COD), os quais cumprem papéis cada vez mais importantes nas funcionalidades de Redes Inteligentes. A metodologia proposta parte da premissa de que um ambiente para testes de funcionalidades de Smart Grids deve permitir análises sistêmicas, não apenas focadas nos dispositivos de controle de uma porção particular da rede ou sistemas de automação específicos, mas devem envolver a maior porção de rede possível e necessária para a correta representação das redes elétricas inteligentes. Neste sentido, a metodologia define e caracteriza os principais módulos e etapas de desenvolvimento de um emulador de redes elétricas inteligentes, ao mesmo tempo em que propõe soluções para os desafios de integração destes módulos, aplicando conceitos de hardware-in-the-loop, software-in-the-loop (SIL), e simulação com sincronização orientada a evento, além de propor soluções com simulação de sistemas de potência em regime permanente e hardware de baixo custo que permitiram o desenvolvimento do emulador de redes em laboratório de Smart Grid. As principais características do emulador de REIs desenvolvido e implementado no laboratório de Smart Grid, conforme a metodologia proposta, também são descritas neste trabalho. Por fim, são apresentados os casos teste, mais especificamente provas de conceito, envolvendo redes de teste IEEE/PES e redes reais das concessionárias do grupo EDP, financiador do projeto de implantação do laboratório no âmbito do Programa de P&D ANEEL, os quais serviram de base para a avaliação do desempenho do emulador e discussões finais sobre as contribuições da metodologia de desenvolvimento proposta neste trabalho. / This work aims to proposing a methodology for the development and application of an innovative Smart Grid emulator for systemic testing of Smart Grids functionalities involving intelligent devices and information technology systems in a laboratory environment. Besides demonstrating the importance of the Smart Grid for the subject research, the literature review clarifies that the research involving hardware-in-the-loop (HIL) tends to concentrate its analyses in the equipment under test, such as power devices, control devices and their algorithms. Instead, it should consider systemic studies involving the interaction of these devices with Operation Centre IT systems, so relevant to the Smart Grid functionalities. The proposed methodology is based on the premise that an environment for testing Smart Grids functionalities should allow systemic analysis instead of focusing only on control devices of a specific area or specific automation systems. Instead, it should involve a more detailed representation of the network that is necessary for the correct representation of the Smart Grid. In this direction, the methodology defines and characterizes the development stages and main modules of a Smart Grid emulator and proposes solutions for integration issues. It applies concepts of hardware-in-the-loop, software-in-the-loop (SIL), simulation with event-driven synchronization, besides steady-state power simulation and low-cost hardware solutions that enabled the development of the Power grid emulator at a Smart Grid laboratory. The main features of the Smart Grid emulator developed and implemented at the Smart Grid laboratory, according to the proposed methodology, are also described in this work. Finally, the description of the Smart Grid laboratory, test cases and proofs of concepts involving IEEE/PES test feeders and real networks of the EDP utility, sponsor of the project for laboratory implementation under the ANEEL R&D Program, are presented to prove the Emulator performance and to discuss the contribution of the methodology herein proposed.