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.

Comando e proteção de IGBTs em paralelo

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Eletrotécnica Ramo de Automação e Eletrónica Industrial

Utilização de técnicas de análise fotogramétricas em quebra-mares de taludes

Dissertação de Natureza Científica elaborada no Laboratório Nacional de Engenharia Civil (LNEC) para obtenção do grau de mestre em Engenharia Civil na Área de Especialização de Hidráulica no âmbito do protocolo de cooperação entre o ISEL e o LNEC

FPGA-based architecture for hyperspectral unmixing

This paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral datasets. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems.

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.

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

Planeamento estratégico através da implementação da metodologia Balanced Scorecard numa empresa de construção

Atualmente, existe uma constante necessidade de inovação tecnológica e organizacional das empresas, face às exigências do mercado e ao aumento constante da competitividade. No contexto da economia atual, e para contrariar a falta de investimento dos últimos anos, as empresas concentram-se no desenvolvimento de negócios bem estruturados e organizados, que satisfaçam as exigências de cada cliente. Revela-se, assim, muito importante a avaliação de desempenho para o alcance do seu sucesso, permitindo alinhar as atividades operacionais com a visão organizacional, fomentar a comunicação da estratégia e gerir o seu desempenho. É neste contexto que ganha importância o Balanced Scorecard, um instrumento que permite avaliar o desempenho organizacional, funcionando também como uma ferramenta de gestão. Tem, portanto, como principais objetivos definir claramente uma estratégia, definir objetivos, indicadores e medidas estratégicas, planear e estabelecer metas e melhorar continuamente os resultados obtidos. Esta ferramenta analisa a organização em quatro diferentes perspetivas: financeira, clientes, processos internos e apendizagem e crescimento. Cada uma delas deve estrututrar os seus próprios objetivos, indicadores, metas e iniciativas de forma a contribuir para o desenvolvimento da estratégia da organização e avaliar o seu desempenho. O desafio deste relatório é adaptar esta metodologia durante a realização de um estágio curricular na empresa Bysteel, que tem por base a implementação de um processo de gestão estratégica nas suas empreitadas, através do Balanced Scorecard. Este planemamento surge como um dos principais requisitos para uma gestão eficaz de custos e de tempo planeados para cada empreitada da Bysteel. Este processo torna-se bastante complexo dado que cada obra apresenta diferentes particularidades. A implementação desta metodologia numa empresa desta dimensão é um fator muito motivador, tornando-se ainda mais interessante pelo facto de se tratar de uma implementação numa nova vertente.

Classificação de Documentos

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade No Lisboa para obtenção de grau de Mestre em Engenharia de Informática