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.

Real-Time Simulation of Real-Time Pricing Demand Response to Meet Wind Variations

Recent changes of paradigm in power systems opened the opportunity to the active participation of new players. The small and medium players gain new opportunities while participating in demand response programs. This paper explores the optimal resources scheduling in two distinct levels. First, the network operator facing large wind power variations makes use of real time pricing to induce consumers to meet wind power variations. Then, at the consumer level, each load is managed according to the consumer preferences. The two-level resources schedule has been implemented in a real-time simulation platform, which uses hardware for consumer’ loads control. The illustrative example includes a situation of large lack of wind power and focuses on a consumer with 18 loads.

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.

Distributed Intelligent Management of Microgrids using a Multi-Agent Simulation Platform

Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems’ sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players’ responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.

Análise e implementação de filtros digitais fraccionários

O projeto realizado teve como tema a aplicação das derivadas e integrais fraccionários para a implementação de filtros digitais numa perspetiva de processamento digital de sinais. Numa primeira fase do trabalho, é efetuado uma abordagem teórica sobre os filtros digitais e o cálculo fraccionário. Estes conceitos teóricos são utilizados posteriormente para o desenvolvimento do presente projeto. Numa segunda fase, é desenvolvida uma interface gráfica em ambiente MatLab, utilizando a ferramenta GUIDE. Esta interface gráfica tem como objetivo a implementação de filtros digitais fraccionários. Na terceira fase deste projeto são implementados os filtros desenvolvidos experimentalmente através do ADSP-2181, onde será possível analisar e comparar os resultados experimentais com os resultados obtidos por simulação no MatLab. Como quarta e última fase deste projeto é efetuado uma reflexão sobre todo o desenvolvimento da Tese e o que esta me proporcionou. Com este relatório pretendo apresentar todo o esforço aplicado na realização deste trabalho, bem como alguns dos conhecimentos adquiridos ao longo do curso.

System Level Simulation and Radio Resource Management for Distributed Antenna Systems with Cognitive Radio and Multi-Cell Cooperation

4th International Conference on Future Generation Communication Technologies (FGCT 2015), Luton, United Kingdom.

RoutesMobilityModel: easy realistic mobility simulation using external information services

Workshop on ns-3 (WNS '15). 13, May, 2015. Castelldefels, Spain.

A learning environment for robotic production line simulation

This paper presents a framework for a robotic production line simulation learning environment using Autonomous Ground Vehicles (AGV). An eLearning platform is used as interface with the simulator. The objective is to introduce students to the production robotics area using a familiar tool, an eLearning platform, and a framework that simulates a production line using AGVs. This framework allows students to learn about robotics but also about several areas of industrial management engineering without requiring an extensive prior knowledge on the robotics area. The robotic production line simulation learning environment simulates a production environment using AGVs to transport materials to and from the production line. The simulator allows students to validate the AGV dynamics and provides information about the whole materials supplying system which includes: supply times, route optimization and inventory management. The students are required to address several topics such as: sensors, actuators, controllers and an high level management and optimization software. This simulator was developed with a known open source tool from robotics community: Player/Stage. This tool was extended with several add-ons so that students can be able to interact with a complex simulation environment. These add-ons include an abstraction communication layer that performs events provided by the database server which is programmed by the students. An eLearning platform is used as interface between the students and the simulator. The students can visualize the effects of their instructions/programming in the simulator that they can access via the eLearning platform. The proposed framework aims to allow students from different backgrounds to fully experience robotics in practice by suppressing the huge gap between theory and practice that exists in robotics. Using an eLearning platform eliminates installation problems that can occur from different computers software distribution and makes the simulator accessible by all students at school and at home.

Improved Numerical Simulation for a Novel Adaptive Control Using Fractional Order Derivatives

A novel control technique is investigated in the adaptive control of a typical paradigm, an approximately and partially modeled cart plus double pendulum system. In contrast to the traditional approaches that try to build up ”complete” and ”permanent” system models it develops ”temporal” and ”partial” ones that are valid only in the actual dynamic environment of the system, that is only within some ”spatio-temporal vicinity” of the actual observations. This technique was investigated for various physical systems via ”preliminary” simulations integrating by the simplest 1st order finite element approach for the time domain. In 2004 INRIA issued its SCILAB 3.0 and its improved numerical simulation tool ”Scicos” making it possible to generate ”professional”, ”convenient”, and accurate simulations. The basic principles of the adaptive control, the typical tools available in Scicos, and others developed by the authors, as well as the improved simulation results and conclusions are presented in the contribution.

Integrating rich learning applications in LMS

Currently, a learning management system (LMS) plays a central role in any e-learning environment. These environments include systems to handle the pedagogic aspects of the teaching–learning process (e.g. specialized tutors, simulation games) and the academic aspects (e.g. academic management systems). Thus, the potential for interoperability is an important, although over looked, aspect of an LMS. In this paper, we make a comparative study of the interoperability level of the most relevant LMS. We start by defining an application and a specification model. For the application model, we create a basic application that acts as a tool provider for LMS integration. The specification model acts as the API that the LMS should implement to communicate with the tool provider. Based on researches, we select the Learning Tools Interoperability (LTI) from IMS. Finally, we compare the LMS interoperability level defined as the effort made to integrate the application on the study LMS.

Teaching accounting and management through business simulation

Everyday accounting and management teachers face the challenge of creating learning environments that motivate students. This chapter describes the Business Simulation (BS) experience that has taken place at the Polytechnic Institute of Porto, Institute of Accounting and Administration (IPP/ISCAP). The chapter presents students’ perceptions about the course and the teaching/learning approach. The results show that pedagogical methods used (competency-oriented), generic competencies (cooperation and group work), and interpersonal skills (organisational and communication skills) are relevant for future accounting professionals. In addition, positive remarks and possible constraints based on observation, staff meetings, and past research are reported. The chapter concludes with some recommendations from the project implementation

Simulation Environment for Multi-Robot Cooperative 3D Target Perception

4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014

Impacto das medidas de conservação de energia em projeto na redução da intensidade de utilização de matérias-primas na construção de um edifício

O presente trabalho pretende mostrar que a aplicação de medidas de conservação de energia (MCE) pode representar uma redução da intensidade de utilização de matérias-primas na construção de um edifício. Mais concretamente, pode representar uma redução da utilização de materiais e equipamentos, e como consequência, uma redução no esforço económico ao primeiro investimento. Podendo posteriormente representar uma redução na utilização de energia durante o período de funcionamento do edifício. A aplicação de MCE no sector da construção tem vindo a ser uma prática corrente nos novos edifícios e edifícios sujeitos a grandes intervenções de reabilitação. Esta prática deve-se à obrigatoriedade de cumprimento de requisitos regulamentares aplicados à otimização do desempenho energético dos edifícios e dos seus sistemas técnicos, nomeadamente, o RCCTE e o RSECE, entretanto revogados pelo REH e pelo RECS, respetivamente. A implementação de MCE apresenta, na maioria dos casos, benefícios económicos para o promotor do edifício, uma vez que se traduz muitas vezes, na otimização do dimensionamento dos sistemas de Aquecimento, Ventilação e Ar Condicionado (AVAC). Esta otimização permite reduzir os custos associados ao primeiro investimento, bem como na utilização de energia por parte do utilizador, logo na redução dos custos de exploração. No entanto, a falta de quantificação dos impactos do dimensionamento dos sistemas AVAC, da redução de utilização de energia e da análise do custo-benefício da sua aplicação pode condicionar o interesse na sua implementação. Neste contexto, surge a presente dissertação, por iniciativa do Instituto Soldadura e Qualidade (ISQ), aplicado a um caso prático de um edifício já construído e propriedade daquela empresa. Com este trabalho pretende-se avaliar o contributo efetivo das MCE implementadas na fase de projeto e na fase de construção, quer na otimização da dimensão de sistemas e equipamentos AVAC, por via da redução das necessidades energéticas, quer na redução de utilização de energia, permitindo, de seguida, uma avaliação custo-benefício.Na base do caso de estudo está o ECOTERMOLAB, o edifício acima referido, adquirido pelo ISQ para instalação de um laboratório de formação, investigação e desenvolvimento na área da energia. Após aquisição pelo ISQ, o edifício sofreu várias alterações/beneficiações, entre as quais a implementação de MCE, tais como, a aplicação de isolamento térmico na envolvente opaca (paredes, pavimentos e coberturas), duplicação dos vãos envidraçados simples, conferindo-lhes melhores caraterísticas térmicas, e pela aplicação de proteções solar. Foram ainda adotadas MCE aos sistemas AVAC, designadamente, pela adoção de recuperadores de calor nas Unidades de Tratamento de Ar Novo (UTAN’s) e de variadores de velocidade nas bombas de circulação de água e nos ventiladores de ar das UTAN’s. Pretendia o ISQ concluir se a aplicação de todas as MCE contribuiu de forma efetiva para o dimensionamento de sistemas e equipamentos AVAC de menor capacidade e, consequentemente, numa redução de utilização de energia. Em sequência, pretendia avaliar a viabilidade económica da aplicação de todas as MCE, estimando o sobrecusto inicial e o tempo necessário para o retorno financeiro daquele investimento. Para alcançar os objetivos propostos, procedeu-se à simulação energética dinâmica do ECOTERMOLAB, utilizando o programa EnergyPlus. Primeiro foi simulada uma situação base do edifício, sem quaisquer MCE. Posteriormente foi caraterizada cada uma das situações de aplicação das MCE, com o objetivo de avaliar o respetivo impacto individual na utilização de energia pelos sistemas AVAC. Por último foram assumidas todas as soluções em conjunto para avaliar o impacto final de todas as MCE na utilização de energia dos sistemas AVAC, bem como no seu dimensionamento. Das simulações dinâmicas foram obtidos os valores das necessidades de aquecimento e arrefecimento, de energia utilizada pelos sistemas AVAC e de caudais de água aquecida e arrefecida circulada. Com estes valores foi feita uma estimativa de dimensionamento dos equipamentos e componentes AVAC para as situações da aplicação de todas as MCE no ECOTERMOLAB e a sua ausência. A partir da diferença dos custos de aquisição dos respetivos equipamentos e dos valores de poupança em energia foi realizado o estudo da viabilidade económica da implementação das MCE neste edifício. Este estudo permitiu concluir que a aplicação das MCE no ECOTERMOLAB levou à redução da dimensão na generalidade dos equipamentos e componentes AVAC. Permitiu, ainda, concluir que houve uma diminuição de utilização de energia por parte destes sistemas e equipamentos para o aquecimento e arrefecimento. Conclui-se ainda que o período de retorno (Payback) do sobrecusto inicial, estimado em 37.822€ é de, aproximadamente, onze anos e meio, para um valor atual líquido (VAL) de 8.061€ e à taxa interna de rentabilidade (TIR) de 7,03%.