Reactive power management strategies in future smart grids

The reactive power management in distribution network with large penetration of distributed energy resources is an important task in future power systems. The control of reactive power allows the inclusion of more distributed recourses and a more efficient operation of distributed network. Currently, the reactive power is only controlled in large power plants and in high and very high voltage substations. In this paper, several reactive power control strategies considering a smart grids paradigm are proposed. In this context, the management of distributed energy resources and of the distribution network by an aggregator, namely Virtual Power Player (VPP), is proposed and implemented in a MAS simulation tool. The proposed methods have been computationally implemented and tested using a 32-bus distribution network with intensive use of distributed resources, mainly the distributed generation based on renewable resources. Results concerning the evaluation of the reactive power management algorithms are also presented and compared.

Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

Smart Grid Communication Technologies in the Brazilian Electrical Sector

Intelligent electrical grids can be considered as the next generation of electrical energy transportation. The enormous potential leads to worldwide focus of research on the technology of smart grids. This paper aims to present a review of the Brazilian electricity sector in context with the integration of communication technologies for smart grids. The work gives an overview of the generation, transmission and distribution of electrical energy in the Brazil and a brief summary of the current electricity market. Smart grid technologies are introduced and the requirements for the Brazilian power system are pointed out. Various technologies for communication within an intelligent network are presented and their characteristics, advantages and disadvantages are compared to the Brazilian conditions. In addition, a summary is given of current pilot projects for Smart Grid technologies within Brazil, as well as a presentation of individual selected projects.

Load Control Timescales Simulation in a Multi-Agent Smart Grid Platform

Environmental concerns and the shortage in the fossil fuel reserves have been potentiating the growth and globalization of distributed generation. Another resource that has been increasing its importance is the demand response, which is used to change consumers’ consumption profile, helping to reduce peak demand. Aiming to support small players’ participation in demand response events, the Curtailment Service Provider emerged. This player works as an aggregator for demand response events. The control of small and medium players which act in smart grid and micro grid environments is enhanced with a multi-agent system with artificial intelligence techniques – the MASGriP (Multi-Agent Smart Grid Platform). Using strategic behaviours in each player, this system simulates the profile of real players by using software agents. This paper shows the importance of modeling these behaviours for studying this type of scenarios. A case study with three examples shows the differences between each player and the best behaviour in order to achieve the higher profit in each situation.

Smart Metering Como Ferramenta de Eficiência Energética

As smart grids e os smart meters, ou redes inteligentes e medidores inteligentes, respectivamente, estão cada vez mais próximos dos consumidores residenciais pelo mundo. Vários países vêm desenvolvendo estudos focados nos impactos decorrentes da introdução destas tecnologias. Uma das principais vantagens está relacionada à eficiência energética, ou conscientização da população em prol de um consumo mais eficiente. Estes benefícios são sentidos diretamente pelo consumidor através da economia nas contas de energia elétrica e pelas concessionárias através da minimização das perdas de transmissão e distribuição, estabilidade do sistema, menor carregamento nos horários de pico, entre outros. Neste artigo são apresentados dois projetos que demonstram o potencial de economia de energia através dos medidores inteligentes e das redes inteligentes. O primeiro realizado na Coreia, com foco na instalação de smart meters e o impacto da utilização de interfaces com o usuário. O segundo realizado em Portugal, com foco no controle das cargas em uma residência com geração distribuída.

Load Profiling Tool to Support Smart Grid Operation Scenarios

This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.

Analysis of Consumption Data to Detect Commercial Losses Using Performance Evaluation Methods in a Smart Grid

Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.

A Communication and Resources Management Scheme to Support the Smart Grid Integration of Multiplayers Access to Resources Information

The increasing and intensive integration of distributed energy resources into distribution systems requires adequate methodologies to ensure a secure operation according to the smart grid paradigm. In this context, SCADA (Supervisory Control and Data Acquisition) systems are an essential infrastructure. This paper presents a conceptual design of a communication and resources management scheme based on an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). The methodology is used to support the energy resource management considering all the involved costs, power flows, and electricity prices leading to the network reconfiguration. The methodology also addresses the definition of the information access permissions of each player to each resource. The paper includes a 33-bus network used in a case study that considers an intensive use of distributed energy resources in five distinct implemented operation contexts.

Dynamic Approach and Testbed for Small and Medium Players Simulation in Smart Grid Environments

The Smart Grid environment allows the integration of resources of small and medium players through the use of Demand Response programs. Despite the clear advantages for the grid, the integration of consumers must be carefully done. This paper proposes a system which simulates small and medium players. The system is essential to produce tests and studies about the active participation of small and medium players in the Smart Grid environment. When comparing to similar systems, the advantages comprise the capability to deal with three types of loads – virtual, contextual and real. It can have several loads optimization modules and it can run in real time. The use of modules and the dynamic configuration of the player results in a system which can represent different players in an easy and independent way. This paper describes the system and all its capabilities.

Smart meters as a tool for energy efficiency

Gradually smart grids and smart meters are closer to the home consumers. Several countries has developed studies focused in the impacts arising from the introduction of these technologies and one of the main advantages are related to energy efficiency, observed through the awareness of the population on behalf of a more efficient consumption. These benefits are felt directly by consumers through the savings on electricity bills and also by the concessionaires through the minimization of losses in transmission and distribution, system stability, smaller loading during peak hours, among others. In this article two projects that demonstrate the potential energy savings through smart meters and smart grids are presented. The first performed in Korea, focusing on the installation of smart meters and the impact of use of user interfaces. The second performed in Portugal, focusing on the control of loads in a residence with distributed generation.

Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids

Demand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers’ flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.

A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids

An intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem. Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors. The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles.

Efeitos imediatos da técnica de desrotação do atlas de Rocabado e do SNAG C1/2 de Mulligan na amplitude do teste de flexão-rotação em indíviduos com cefaleia cervicogénica : um ensaio clínico aleatório

RESUMO: A cefaleia cervicogénica é uma forma comum de dor de cabeça, que tem sido associada à existência de uma disfunção das estruturas da coluna cervical superior. Estudos recentes mostram uma grande incidência dessa disfunção a nível de C1-C2, avaliada pelo teste de flexão-rotação. Vários terapeutas manuais, como Brian Mulligan e Mariano Rocabado, têm sido sugerido técnicas de tratamento para este tipo de disfunção. Contudo, a evidência acerca da efectividade dessas técnicas é escassa. Desenho do estudo: Foi efectuado um ensaio clínico aleatório, duplamente cego, composto por três fases: pré-intervenção, intervenção e pós-intervenção. Objectivos: Avaliar e comparar os efeitos imediatos de duas técnicas de Terapia Manual Ortopédica (SNAG C1/2 de Mulligan e técnica de desrotação do atlas de Rocabado), na amplitude de movimento de rotação do segmento vertebral C1-C2, em indivíduos com história de cefaleia cervicogénica e com limitação no teste de flexão-rotação. As técnicas de tratamento foram usadas de forma isolada, em comparação a um grupo placebo. Métodos: Uma amostra de 60 indivíduos, com cefaleia cervicogénica e limitação do teste de flexão-rotação, foram aleatoriamente distribuídos por três grupos: SNAG C1/2 de Mulligan, técnica de desrotação do atlas de Rocabado e grupo placebo. O outcome primário foi a amplitude de movimento obtida no teste de flexão-rotação, que foi medido antes e imediatamente após a intervenção. Resultados: Imediatamente após a intervenção, a amplitude verificada no teste de flexão-rotação aumentou 21.8º (DP, 4.68) no grupo submetido ao SNAG C1/2 de Mulligan, 15º (DP, 5.07) no grupo em que foi aplicada a técnica de desrotação do atlas de Rocabado e 0.65º (DP, 0.67) no grupo placebo. Uma ANOVA modelo misto, 2 por 3, revelou efeito principal significativo do tempo (p<.001) e grupo (p<.001), assim como uma interacção significativa entre grupo e tempo (p<.001), relativamente à variável amplitude do teste de flexão-rotação. Estes resultados indicam que as diferenças verificadas entre os grupos eram dependentes do momento de avaliação. Uma comparação múltipla post hoc revelou que quer as técnicas de Mulligan, quer de Rocabado, produziram efeitos significativamente maiores que a intervenção placebo na amplitude de movimento do teste de flexão-rotação (p<.001 e p=.001, respectivamente). No entanto,não se verificou uma diferença significativa no que diz respeito à efectividade de ambas as técnicas de Terapia Manual Ortopédica aplicadas (p=.42). Conclusão: Esta investigação sugere que as duas técnicas de Terapia Manual Ortopédica avaliadas produziram efeito clínica e estatisticamente significativo na amplitude do teste de flexão-rotação. No entanto, não se verificaram diferenças entre as duas técnicas, no que diz respeito ao seu efeito no ganho de amplitude de movimento. Os resultados obtidos fornecem evidência preliminar sobre a efectividade de ambas as intervenções no tratamento da redução de amplitude de movimento em indivíduos com história de cefaleia cervicogénica.-------------------------------ABSTRACT:Background: Cervicogenic headache is a common form of headache arising from dysfunction in structures of the upper cervical spine. Recent studies have shown a high incidence of C1/2 dysfunction, evaluated by the flexion-rotation test (FRT). Several manual therapists have suggested different approaches to manage that dysfunction, such as Brian Mulligan and Mariano Rocabado. However, the evidence of the effectiveness of those manual techniques is anedoctal. Design: Randomized double blinded controlled trial with three phases: pre-intervention, intervention and post-intervention. Objectives: To determine and compare the immediate effects of two manual therapy techniques (Mulligan’s SNAG C1/2 and Rocabado’s atlas’ derotation technique) in the range of motion of C1-C2 vertebral segments, in cervicogenic headache patients and with limitation on the flexion-rotatoin test. The treatment techniques were used as single treatments against a placebo group. Methods: A sample of 60 subjects with cervicogenic headache and FRT limitation were randomly allocated into one of three groups: Mulligan’s C1/2 SNAG, Rocabado’s atlas derotation technique or placebo group. The primary outcome was the flexion rotation test range, which was measured before and immediately after the intervention. Results: Immediately after the application of the interventions, FRT range increased by 21.8º (SD, 4.68) for the Mulligan’s C1-2 SNAG group, 15º (SD, 5.07) for the Rocabado’s atlas derotation technique and 0.65º (SD, 0.67) for the placebo group. A 2-by-3 mixedmodel ANOVA a significant main effect of time (p<.001) and group (p<.001), as well as a significant interaction between group and time (p<.001) for the variable FRT range. These results indicate that group differences were dependent on time. A pairwise post hoc comparison revelad that both the Mulligan and Rocabado techniques produced significantly more effect on FRT range of motion than the placebo intervention (p<.001 and p=.001, respectively). However, there was not a significant difference between the effectiveness of the two manual therapy techniques (p=.42).Conclusion: This investigation’s findings suggest that both Mulligan’s C1/2 SNAG and Rocabado’s atlas derotation techniques produced a clinically and statistically significant effect on FRT range, but there were no changes between the two techniques in their effectiveness. These results provide preliminary evidence for the efficacy of both manual therapy techniques in the management of individuals with cervicogenic headache and FRT limitation.

Smart city. O futuro já acontece

Águeda recebeu formalmente no passado mês de Março o Selo de SMART CITY assim como o prémio de inovação no que ao apoio á internacionalização das suas empresas diz respeito e ao empreendedorismo que sempre demostrou neste processo de desenvolvimento sustentável que já decorre no concelho á alguns anos. Mais do que uma SMART CITY, Águeda quer ser uma HUMAN SMART CITY onde a tecnologia é utilizada para servir as pessoas. Os pilares principais deste projeto assentam: • Governação • Mobilidade / Acessibilidades • Desenvolvimento Económico • Imagem de Marca • Ambiente / Sustentabilidade • Inovação

Estudo e integração de business models e a sua aplicação em smart-ups e projetos portugueses

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para obtenção do Grau de Mestre em Gestão das Organizações, Ramo Gestão de Empresas Orientador: Professor Doutor Eduardo Manuel Lopes de Sá e Silva Co-orientador: Mestre Maria de Fátima Mendes Monteiro