Balancing market integration in MASCEM electricity market simulator

With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.

Multi-agent simulation of continental, regional, and micro electricity markets

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

Complex market integration in MASCEM electricity market simulator

The restructuring that the energy sector has suffered in industrialized countries originated a greater complexity in market players’ interactions, and thus new problems and issues to be addressed. Decision support tools that facilitate the study and understanding of these markets become extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent system for simulating competitive electricity markets. To provide MASCEM with the capacity to recreate the electricity markets reality in the fullest possible extent, it is essential to make it able to simulate as many market models and player types as possible. This paper presents the development of the Complex Market in MASCEM. This module is fundamental to study competitive electricity markets, as it exhibits different characteristics from the already implemented market types.

VISIR deployment in undergraduate engineering practices

Practical sessions are the backbone of qualification in engineering education. It leads to a better understanding and allows mastering scientific concepts and theories. The lack of the availability of practical sessions at many universities and institutions owing to the cost and the unavailability of instructors the most of the time caused a significant decline in experimentation in engineering education over the last decades. Recently, with the progress of computer-based learning, remote laboratories have been proven to be the best alternative to the traditional ones, regarding to its low cost and ubiquity. Some universities have already started to deploy remote labs in their practical sessions. This contribution compiles diverse experiences based on the deployment of the remote laboratory, Virtual Instrument Systems in Reality (VISIR), on the practices of undergraduate engineering grades at various universities within the VISIR community. It aims to show the impact of its usage on engineering education concerning the assessments of students and teachers as well.

Contributo das tecnologias de informação na gestão do regime terapêutico no diabético

A diabetes é a doença do seculo XXI, atinge mais de um milhão de portugueses cada vez mais jovens em idades trabalhadoras, e já custa mais de 1% do PIB, além dos enormes danos que pode causar às pessoas e à sociedade. Segundo o Relatório Anual do Observatório Nacional da Diabetes, em 2011, cerca de um quarto da população portuguesa integrada no escalão etário dos 60 aos 79 tem Diabetes. Um estudo realizado pelo Lisbon Internet and Networks Institute (LINI), em 2010, diz-nos que “a internet é um recurso para a informação e educação para a saúde”. Em 2010 49% dos lares portugueses possuem acesso à internet e 44% da população é utilizadora (acréscimo significativo relativamente aos 29% em 2003). Destes, dois terços têm entre os 15 e os 24 anos. Os idosos representam 1,6%, dos quais os reformados e pensionistas representam 5%, as domésticas representam 11% e os trabalhadores manuais 22%, sendo estes os menos utilizadores. Um terço da restante população procura informação sobre saúde semanalmente, cerca de 16%. Face à atual conjuntura económica, com restrições orçamentais, nomeadamente na área da saúde, devem-se encontrar meios para prevenir e lidar com a Diabetes numa perspetiva de custo-benefício, isto porque a Diabetes pode reduzir as oportunidades de emprego e de aprendizagem. O atual diretor da Organização para a Cooperação e Desenvolvimento Económico (OCDE) Yyes Leterme diz que “Prevenir e tratar a Diabetes e as suas complicações custa cerca de 90 mil milhões de euros anualmente na Europa”. Atualmente, não é muito utilizado nem explorado o potencial das tecnologias de informação e as ferramentas web ao serviço da saúde, quer por profissionais de saúde, quer por utentes na gestão ao regime terapêutico na doença crónica, mais precisamente na gestão adequada da Diabetes. Potenciar uma visão integrada dos diferentes recursos de comunicação e a sua utilização conjugada com a promoção da saúde e prevenção da doença poderá enfatizar em termos de eficácia e eficiência a minimização de recursos das organizações de saúde e promover a gestão adequada da Diabetes. Tendo por base esta problemática, este estudo pretende abordar e refletir o possível contributo das tecnologias de informação e das ferramentas web na gestão adequada ao regime terapêutico da Diabetes.

Integração de um sistema de gestão de informação clínica hospitalar numa unidade de cuidados continuados

O crescimento da população idosa impõe o desenvolvimento de serviços de qualidade orientados para as necessidades comuns desta faixa etária. A área dos cuidados continuados corresponde a um segmento em crescimento com um forte potencial de desenvolvimento no que concerne ao domínio dos sistemas de informação (SI). O presente trabalho pressupõe o acompanhamento do processo de integração de um SI de uma Unidade Hospitalar (UH) numa Unidade de Cuidados Continuados (UCC) para idosos. A análise envolveu o recurso à Teoria Actor-network (ANT), enquanto posicionamento teórico de relevo para o desenvolvimento de SI. Esta teoria coloca, equitativamente, em destaque os factores humano e não humano como concorrentes para o sucesso no desenvolvimento de um SI. O processo em destaque neste trabalho envolveu a análise compreensiva dos SI das unidades de saúde envolvidas; monitorização e descrição do processo de integração do SI de inspiração hospitalar na UCC; avaliação do resultado final; estabelecimento de requisitos fundamentais para o desenho de um SI adaptado a uma organização prestadora de cuidados continuados a idosos. Estas etapas foram desenvolvidas tendo por base a concretização de 3 ciclos, integradores dos conceitos da ANT com o processo de Engenharia de Requisitos: Ciclo 1 - análise do sistema sócio-técnico; Ciclo 2 – desenho do novo sistema sócio-técnico; Ciclo 3 – transformação da rede sócio-técnica. A metodologia inerente ao processo envolveu a análise documental, realização de notas de campo, entrevista e questionário. Os requisitos são apresentados através da conceptualização de um SI denominado Gestão de Cuidados Residenciais (GCR). Conclui-se, que para que um SI resulte com eficácia, eficiência e efetividade para uma organização, deverá revelar-se adaptado ao propósito e missão da organização em causa, sob pena de induzir fragilidade ao ciclo operacional e ao modelo de gestão de informação.

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

Reforço de estruturas de betão armado com compósitos de fibra de carbono

O relatório resulta do estágio realizado na empresa Sika Brasil, no âmbito da Unidade Curricular de DIPRE do Mestrado de Engenharia Civil do Instituto Superior de Engenharia do Porto. A área de especialidade incidiu na recuperação e reforço de estruturas (Target Market Refurbishment), onde se deu a oportunidade de aprofundar conhecimentos em reforço estrutural através do sistema de reforço com compósitos de fibra de carbono (CFRP) colado exteriormente (EBR - Externally Bonded Reinforcement). O estágio realizado permitiu uma abordagem com a gama de produtos de recuperação e reforço da Sika Brasil, sendo que houve um foco muito grande nos produtos que respeitam ao reforço estrutural com compósitos de fibra de carbono. Este documento visa várias etapas do estágio, relacionadas diretamente com o reforço estrutural com CFRP. Foi feito um levantamento teórico das características dos compósitos de fibra de carbono, dando a conhecer os materiais envolvidos no sistema, as suas propriedades mecânicas e o seu âmbito de aplicação. No sentido de ter um diálogo profícuo com os projetistas e aplicadores de sistemas compósitos de fibra, foi realizada uma análise do procedimento de cálculo para o dimensionamento de reforço CFRP, à luz do Bulletin 14 fib:01 (2001), bem como uma análise da situação de incêndio para os sistemas compósitos. Consta neste documento uma análise feita entre os principais fornecedores de sistemas de CFRP no Brasil, baseando-se a mesma no conteúdo das fichas técnicas de produto relativas ao sistema de reforço EBR e respetiva comparação com a informação necessária para dimensionamento, de acordo com o Bulletin 14 fib:01 (2001). É relatado um reforço estrutural, como caso de estudo, tendo-se dado a oportunidade de se acompanhar desde a sua fase de projeto até à fase de execução. Por fim, este documento contém a simulação de dois programas da Sika para dimensionamento de reforço CFRP. A simulação foi feita para uma viga submetida a esforço de flexão, com as características geométricas e solicitações previamente definidas.

Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

Intelligent Remuneration and Tariffs for Virtual Power Players

Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

Virtual Power Players Internal Negotiation and Management in MASCEM

Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in very helpful sophisticated tools. This paper presents a new methodology for the management of coalitions in electricity markets. This approach is tested using the multi-agent market simulator MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), taking advantage of its ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market and internally, with their members in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. A case study using real data from the Iberian Electricity Market is performed to validate and illustrate the proposed approach.

Integration in MASCEM of the Joint Dispatch of Energy and Reserves Provided by Generation and Demand Resources

The provision of reserves in power systems is of great importance in what concerns keeping an adequate and acceptable level of security and reliability. This need for reserves and the way they are defined and dispatched gain increasing importance in the present and future context of smart grids and electricity markets due to their inherent competitive environment. This paper concerns a methodology proposed by the authors, which aims to jointly and optimally dispatch both generation and demand response resources to provide the amounts of reserve required for the system operation. Virtual Power Players are especially important for the aggregation of small size demand response and generation resources. The proposed methodology has been implemented in MASCEM, a multi agent system also developed at the authors’ research center for the simulation of electricity markets.

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.

Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets

Traditional vertically integrated power utilities around the world have evolved from monopoly structures to open markets that promote competition among suppliers and provide consumers with a choice of services. Market forces drive the price of electricity and reduce the net cost through increased competition. Electricity can be traded in both organized markets or using forward bilateral contracts. This article focuses on bilateral contracts and describes some important features of an agent-based system for bilateral trading in competitive markets. Special attention is devoted to the negotiation process, demand response in bilateral contracting, and risk management. The article also presents a case study on forward bilateral contracting: a retailer agent and a customer agent negotiate a 24h-rate tariff.

Realistic Multi-Agent Simulation of Competitive Electricity Markets

The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.