MASCEM Restructuring: Ontologies For Scenarios Generation in Power Systems Simulators

The electricity market restructuring, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in an rising complexity in power systems operation. Various power system simulators have been introduced in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex environment. This paper focuses on the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The restructuring of MASCEM (Multi-Agent System for Competitive Electricity Markets), and this system’s integration with MASGriP (Multi-Agent Smart Grid Platform), and ALBidS (Adaptive Learning Strategic Bidding System) provide the means for the exemplification of the usefulness of this ontology. A practical example is presented, showing how common simulation scenarios for different simulators, directed to very distinct environments, can be created departing from the proposed ontology.

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.

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.

Middleware for Large-scale Distributed Systems

Nos últimos anos o aumento exponencial da utilização de dispositivos móveis e serviços disponibilizados na “Cloud” levou a que a forma como os sistemas são desenhados e implementados mudasse, numa perspectiva de tentar alcançar requisitos que até então não eram essenciais. Analisando esta evolução, com o enorme aumento dos dispositivos móveis, como os “smartphones” e “tablets” fez com que o desenho e implementação de sistemas distribuidos fossem ainda mais importantes nesta área, na tentativa de promover sistemas e aplicações que fossem mais flexíveis, robutos, escaláveis e acima de tudo interoperáveis. A menor capacidade de processamento ou armazenamento destes dispositivos tornou essencial o aparecimento e crescimento de tecnologias que prometem solucionar muitos dos problemas identificados. O aparecimento do conceito de Middleware visa solucionar estas lacunas nos sistemas distribuidos mais evoluídos, promovendo uma solução a nível de organização e desenho da arquitetura dos sistemas, ao memo tempo que fornece comunicações extremamente rápidas, seguras e de confiança. Uma arquitetura baseada em Middleware visa dotar os sistemas de um canal de comunicação que fornece uma forte interoperabilidade, escalabilidade, e segurança na troca de mensagens, entre outras vantagens. Nesta tese vários tipos e exemplos de sistemas distribuídos e são descritos e analisados, assim como uma descrição em detalhe de três protocolos (XMPP, AMQP e DDS) de comunicação, sendo dois deles (XMPP e AMQP) utilzados em projecto reais que serão descritos ao longo desta tese. O principal objetivo da escrita desta tese é demonstrar o estudo e o levantamento do estado da arte relativamente ao conceito de Middleware aplicado a sistemas distribuídos de larga escala, provando que a utilização de um Middleware pode facilitar e agilizar o desenho e desenvolvimento de um sistema distribuído e traz enormes vantagens num futuro próximo.

Quadros Elétricos Inteligentes-Smart Panels

Na sociedade atual, a preocupação com o ambiente, por um lado, e com o conforto e a segurança, por outro, faz com que a sustentabilidade energética se assuma como uma forma de intervenção adequada às exigências de qualidade de vida e à eficiência no âmbito da economia. Nesta conformidade, é incontornável a mais-valia do Smart Panel, um quadro elétrico inteligente criado com vista à consecução daqueles desideratos, o que motivou o tema do presente trabalho. Assim, pretende-se demonstrar as potencialidades do Smart Panel, um novo conceito de quadro elétrico que visa a otimização da sua funcionalidade na gestão dinâmica e pragmática das instalações elétricas, nomeadamente no que respeita ao controlo, monitorização e atuação sobre os dispositivos, quer in loco quer, sobretudo, à distância. Para a consecução deste objetivo, concorrem outros que o potenciam, designadamente a compreensão do funcionamento do quadro elétrico (QE) tradicional, a comparação deste com o Smart Panel e a demonstração das vantagens da utilização desta nova tecnologia. A grande finalidade do trabalho desenvolvido é, por um lado, colocar a formação académica ao serviço de um bom desempenho profissional futuro, por outro ir ao encontro da tendência tecnológica inerente às necessidades que o homem, hoje, tem de controlar. Deste modo, num primeiro momento, é feita uma abordagem geral ao quadro eléctrico tradicional a fim de ser compreendido o seu funcionamento, aplicações e potencialidades. Para tanto, a explanação inclui a apresentação de conceitos teóricos subjacentes à conceção, produção e montagem do QE. São explicitados os diversos componentes que o integram e funções que desempenham, bem como as interações que estabelecem entre si e os normativos a que devem obedecer, para conformidade. Houve a preocupação de incluir imagens coadjuvantes das explicações, descrições e procedimentos técnicos. No terceiro capítulo é abordada a tecnologia Smart Panel, introduzindo o conceito e objetivos que lhe subjazem. Explicita-se o modo de funcionamento deste sistema que agrupa proteção, supervisão, controlo, armazenamento e manutenção preventiva, e demonstra-se de que forma a capacidade de leitura de dados, de comunicação e de comando do quadro elétrico à distância se afigura uma revolução tecnológica facilitadora do cumprimento das necessidades de segurança, conforto e economia da vida moderna. Os capítulos quarto, quinto e sexto versam uma componente prática do trabalho. No capítulo quarto é explanado um suporte formativo e posterior demonstração do kit de ensaio, que servirá de apoio à apresentação da tecnologia Smart Panel aos clientes. Além deste suporte de formação, no quinto capítulo é elaborada uma lista de procedimentos de verificação a serem executados aos componentes de comunicação que integram o Smart Panel, para fornecimento ao quadrista. Por fim, no sexto capítulo incluem-se dois casos de estudo: o estudo A centra-se na aplicação da tecnologia Smart Panel ao projeto de um QE tradicional, que implica fazer o levantamento de toda a aparelhagem existente e, de seguida, proceder à transposição para a tecnologia Smart Panel por forma a cumprir os requisitos estabelecidos pelo cliente. O estudo de caso B consiste na elaboração de um projeto de um quadro eléctrico com a tecnologia Smart Panel em função de determinados requisitos e necessidades do cliente, por forma a garantir as funções desejadas.

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

Research Directions in Cyber Physical Systems

Cyber Physical systems (CPS) connect the physical world with cyber world. The events happening in the real world is enormous and most of it go unnoticed and information is lost. CPS enables to embed tiny smart devices to capture the data and send it to Internet for further processing. The entire set-up call for lots of challenges and open new research problems. This talk is a journey through the landscape of research problems in this emerging area.

Entwurf und Betrieb von Regelungs- und Monitoringsystemen für dezentrale Energiesysteme auf der Basis von verteilten Embedded Systems

Nach einem einleitenden ersten Kapitel wird im zweiten Kapitel der Stand der Technik für Regelungs- und Monitoringsysteme mit vernetzten Systemen dargestellt. Daraus wird die Motivation zur Entwicklung neuer, kostengünstiger Systeme abgeleitet. Im dritten Kapitel folgt eine Darstellung der verschiedenen Arten marktverfügbarer Embedded Systems und dafür geeigneter Betriebs­systeme. Anforderungen an verteilte Regelungssysteme, unterschiedliche Strukturen dieser Systeme und deren Vor- und Nachteile sind Gegenstand des vierten Kapitels. Anhand von Beispielen aus den Bereichen Erzeugungsmanagement für den Betrieb von KWK-Anlagen, Energieverbrauchsmonitoring und Smart-Metering wird der Einsatz von verteilten Regelungs- und Monitoringsystemen im fünften Kapitel dargestellt. Im folgenden sechsten Kapitel wird die Bedeutung normierter Kommunikation für den Einsatz in verteilten Systemen sowie dafür vorhandene Standards aus der elektrischen Energieversorgungstechnik und der Automatisierungstechnik behandelt. Der Stand der Internet-Technik für verteilte Systeme ist Gegenstand des siebten Kapitels. Dabei werden zunächst die verschiedenen drahtlosen und drahtgebundenen Kommunikationsmedien vorgestellt und ihre Eigenschaften und die Rand­bedingungen für ihren Einsatz erörtert. Ebenso werden technische Probleme beim Einsatz der Internet-Technik aufgezeigt und Lösungsmöglichkeiten für diese Probleme dargestellt. Es folgt eine Übersicht von Netzwerkdiensten, die für den Betrieb von verteilten Systemen notwendig sind. Außerdem werden Techniken zur Überwachung von verteilten Systemen behandelt. Kapitel acht zeigt Sicherheitsrisiken bei der Nutzung des Internets auf und bewertet verschiedene Techniken zur Absicherung des Netzwerkverkehrs. Kapitel neun stellt ein Internet-basiertes Client-Server-System zur Online-Visualisierung von Anlagendaten im Webbrowser mit Hilfe von Java-Applets und XML-RPC vor. Die Visualisierung von Anlagendaten auf Mobiltelefonen mit Hilfe des Wireless Application Protocol sowie die dafür notwendige Software und Infrastruktur ist Gegenstand des zehnten Kapitels. Im elften Kapitel wird eine neuartige Software für die Simulation von dezentralen Energiesystemen und deren Regelungs­systemen auf Basis von virtuellen Maschinen, virtuellen Netzwerken und einer thermischen Simulationsumgebung vorgestellt sowie deren Anwendung für die Reglerentwicklung erklärt. Verschiedene Techniken für die Installation von Betriebssystemen und Software für die Embedded Systems eines verteilten Systems werden im Kapitel zwölf untersucht. Im Kapitel 13 werden verschiedene Technologien zur Konfiguration und Parametrierung von Regelungssystemen in der industriellen Prozess- und Fertigungs­automatisierung hinsichtlich ihrer Eignung für dezentrale Energiesysteme analysiert. Anschließend wird eine Software zur Installation und Parametrierung von Monitoringsystemen sowie der dazugehörigen Infrastruktur vorgestellt. Kapitel 14 beschäftigt sich mit Anforderungen an die Hardware für verteilte Systeme und mit Maßnahmen zur Erhöhung der Betriebs- und der Datensicherheit. Im 15. Kapitel werden die in den bisherigen Kapiteln vorgestellten Techniken anhand eines großen verteilten Monitoringsystems und anhand eines Power Flow and Power Quality Management Systems auf Basis von verteilten Embedded Systems evaluiert. Kapitel 16 fasst die Ergebnisse der Arbeit zusammen und enthält einen Ausblick auf zukünftige Entwicklungen.

Embedding Emotional Context in Recommender Systems

Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart prediction assistant (SPA) platform in an intelligent learning guide with more than three million users. While most approaches to recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems

Identification and Semiactive Control of Smart Structures Equipped with Magnetorheological Actuators

This paper deals with the problem of identification and semiactive control of smart structures subject to unknown external disturbances such as earthquake, wind, etc. The experimental setup used is a 6-story test structure equipped with shear-mode semiactive magnetorheological actuators being installed in WUSCEEL. The experimental results obtained have verified the effectiveness of the proposed control algorithms

Methodology to obtain the user's Human Values Scale from Smart User Models

En años recientes,la Inteligencia Artificial ha contribuido a resolver problemas encontrados en el desempeño de las tareas de unidades informáticas, tanto si las computadoras están distribuidas para interactuar entre ellas o en cualquier entorno (Inteligencia Artificial Distribuida). Las Tecnologías de la Información permiten la creación de soluciones novedosas para problemas específicos mediante la aplicación de los hallazgos en diversas áreas de investigación. Nuestro trabajo está dirigido a la creación de modelos de usuario mediante un enfoque multidisciplinario en los cuales se emplean los principios de la psicología, inteligencia artificial distribuida, y el aprendizaje automático para crear modelos de usuario en entornos abiertos; uno de estos es la Inteligencia Ambiental basada en Modelos de Usuario con funciones de aprendizaje incremental y distribuido (conocidos como Smart User Model). Basándonos en estos modelos de usuario, dirigimos esta investigación a la adquisición de características del usuario importantes y que determinan la escala de valores dominantes de este en aquellos temas en los cuales está más interesado, desarrollando una metodología para obtener la Escala de Valores Humanos del usuario con respecto a sus características objetivas, subjetivas y emocionales (particularmente en Sistemas de Recomendación).Una de las áreas que ha sido poco investigada es la inclusión de la escala de valores humanos en los sistemas de información. Un Sistema de Recomendación, Modelo de usuario o Sistemas de Información, solo toman en cuenta las preferencias y emociones del usuario [Velásquez, 1996, 1997; Goldspink, 2000; Conte and Paolucci, 2001; Urban and Schmidt, 2001; Dal Forno and Merlone, 2001, 2002; Berkovsky et al., 2007c]. Por lo tanto, el principal enfoque de nuestra investigación está basado en la creación de una metodología que permita la generación de una escala de valores humanos para el usuario desde el modelo de usuario. Presentamos resultados obtenidos de un estudio de casos utilizando las características objetivas, subjetivas y emocionales en las áreas de servicios bancarios y de restaurantes donde la metodología propuesta en esta investigación fue puesta a prueba.En esta tesis, las principales contribuciones son: El desarrollo de una metodología que, dado un modelo de usuario con atributos objetivos, subjetivos y emocionales, se obtenga la Escala de Valores Humanos del usuario. La metodología propuesta está basada en el uso de aplicaciones ya existentes, donde todas las conexiones entre usuarios, agentes y dominios que se caracterizan por estas particularidades y atributos; por lo tanto, no se requiere de un esfuerzo extra por parte del usuario.

Analysis and clustering of residential customers energy behavioral demand using smart meter data

Clustering methods are increasingly being applied to residential smart meter data, providing a number of important opportunities for distribution network operators (DNOs) to manage and plan the low voltage networks. Clustering has a number of potential advantages for DNOs including, identifying suitable candidates for demand response and improving energy profile modelling. However, due to the high stochasticity and irregularity of household level demand, detailed analytics are required to define appropriate attributes to cluster. In this paper we present in-depth analysis of customer smart meter data to better understand peak demand and major sources of variability in their behaviour. We find four key time periods in which the data should be analysed and use this to form relevant attributes for our clustering. We present a finite mixture model based clustering where we discover 10 distinct behaviour groups describing customers based on their demand and their variability. Finally, using an existing bootstrapping technique we show that the clustering is reliable. To the authors knowledge this is the first time in the power systems literature that the sample robustness of the clustering has been tested.

From Smart Meters To Smart Decisions: Web-Based Support For The Water Efficient Household

Smart water metering technologies for residential buildings offer, in principle, great opportunities for sustainable urban water management. However, much of this potential is as yet unrealized. Despite that several ICT solutions have already been deployed aiming at optimum operations on the water utilities side (e.g. real time control for water networks, dynamic pump scheduling etc.), little work has been done to date on the consumer side. This paper presents a web-based platform targeting primarily the household end user. The platform enables consumers to monitor, on a real-time basis, the water demand of their household, providing feedback not only on the total water consumption and relevant costs but also on the efficiency (or otherwise) of specific indoor and outdoor uses. Targeting the reduction of consumption, the provided feedback is combined with notifications about possible leakages\bursts, and customised suggestions to improve the efficiency of existing household uses. It also enables various comparisons, with past consumption or even with that of similar households, aiming to motivate further the householder to become an active player in the water efficiency challenge. The issue of enhancing the platform’s functionality with energy timeseries is also discussed in view of recent advances in smart metering and the concept of “smart cities”. The paper presents a prototype of this web-based application and critically discusses first testing results and insights. It also presents the way in which the platform communicates with central databases, at the water utility level. It is suggested that such developments are closing the gap between technology availability and usefulness to end users and could help both the uptake of smart metering and awareness raising leading, potentially, to significant reductions of urban water consumption. The work has received funding from the European Union FP7 Programme through the iWIDGET Project, under grant agreement no318272.