20 resultados para Competitive Market

em Instituto Politécnico do Porto, Portugal


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This paper presents a software tool (SIM_CMTP) that solves congestion situations and evaluates the taxes to be paid to the transmission system by market agents. SIM_CMTP provides users with a set of alternative methods for cost allocation and enables the definition of specific rules, according to each market and/or situation needs. With these characteristics, SIM_CMTP can be used as an operation aid for Transmission System Operator (TSO) or Independent System Operator (ISO). Due to its openness, it can also be used as a decision-making support tool for evaluating different options of market rules in competitive market environment, guarantying the economic sustainability of the transmission system.

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The power systems operation in the smart grid context increases significantly the complexity of their management. New approaches for ancillary services procurement are essential to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. These approaches should include market mechanisms which allow the participation of small and medium distributed energy resources players in a competitive market environment. In this paper, an energy and ancillary services joint market model used by an aggregator is proposed, considering bids of several types of distributed energy resources. In order to improve economic efficiency in the market, ancillary services cascading market mechanism is also considered in the model. The proposed model is included in MASCEM – a multi-agent system electricity market simulator. A case study considering a distribution network with high penetration of distributed energy resources is presented.

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Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Professora Doutora Maria Clara Ribeiro

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A indústria de transformação de material plástico contribui de forma relevante para o desenvolvimento da economia mundial. Com o objetivo de desenvolvimento dessa indústria, a empresa Pentaplast S. A., situada em Água Longa, Santo Tirso, desenvolve a conceção de novos produtos para novas aplicações. Esta empresa para continuar na posição de destaque que possui, tem que conduzir a sua existência na melhoria contínua e atualização fase ao mercado. Na indústria termoformadora existe uma procura constante de novos materiais, visto ser um mercado muito competitivo. Neste contexto, o presente trabalho tem como objetivo desenvolver um filme plástico com o aspeto de papel para a indústria termoformadora, criando desta forma um impacto no consumidor para a preocupação ambiental. De forma a encontrar soluções para o problema mencionado, conduziu-se ao estudo e desenvolvimento de um novo produto – Paper Like, sendo este, um produto reciclável e adotado às necessidades da termoformação. Para isso, desenvolveu-se o projeto utilizando o processo de termolaminação, com a adição de um aditivo na camada externa, permitindo incorporar ao filme plástico, o aspeto e textura de papel. Foram testados, separadamente, dois aditivos, X e Y, base PET e PE, respetivamente, com diferentes percentagens de incorporação. O aditivo X foi desenvolvido especialmente para este projeto, tendo como base politereftalato de etileno, no entanto com a sua incorporação não se obteve os resultados esperados, somente dava um aspeto mate ao filme extrudidos. O aditivo Y, já existe no mercado mas nunca utilizado em extrusão plana, tem como base polietileno e a sua incorporação permitiu obter um filme com aspeto de papel, comprovando-se a sua compatibilidade com pigmentos, os quais dão diversas cores aos filmes, permitindo assim competir com os filmes tradicionais. Infelizmente a termolaminação do filme com o aditivo Y não foi possível, o que inviabiliza a selagem da embalagem.

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Ao longo dos tempos que a economia tem sofrido mudanças a nível global, e é possível verificar que as empresas estão constantemente a adaptar-se a essa mudança. Fruto dessa adaptação, os recursos humanos, que são uma das partes fundamentais de uma empresa pois representam a sua mão-de-obra, têm tido um papel junto da mesma significativamente alterado ao longo do tempo. De facto, não só o papel dos recursos humanos tem sido diferente ao longo do tempo, a própria gestão de recursos humanos evoluiu significativamente, a par da própria evolução das várias estruturas organizacionais. Tudo isto se relaciona com a necessidade de encontrar métodos de diferenciação, de adquirir vantagem competitiva, ou de conseguir obter mais valor num mercado cada vez mais competitivo a todos os níveis. Assim, embora hoje em dia se assuma de um modo geral que os recursos humanos são realmente uma fonte de valor, capazes de fazer com que a sua empresa se diferencie, e capazes de criar vantagem competitiva, a verdade é que para que tal seja possível é necessário uma gestão dos mesmos que o possibilite. A gestão de recursos humanos traduz-se sobretudo nas suas práticas, tais como o recrutamento ou a formação, e para que essas práticas tenham o melhor efeito possível é necessário que as mesmas sejam avaliadas de forma imparcial, ou seja, independente. É neste contexto que surge a Auditoria de Recursos Humanos, que se pode resumir a uma avaliação aos recursos humanos e à sua gestão dos pontos de vista legal, funcional, e estratégico. Com o objectivo de verificar se, no contexto português, as empresas pensam nos seus recursos humanos como um recurso que acrescenta valor se gerido adequadamente, e se apostam neste tipo de auditoria como forma de avaliar o paradigma dos seus recursos humanos, foi elaborado um questionário e enviado a empresas distinguidas com os estatutos PME Líder 2014 e PME Excelência 2014 pelo IAPMEI. As conclusões do estudo indicaram que embora as empresas acreditem que os recursos humanos acrescentam valor, apostando na sua motivação, formação, avaliação de desempenho e satisfação, as mesmas não fazem questão em obter a certificação dos seus sistemas de gestão de recursos humanos e não utilizam a auditoria de recursos humanos como uma ferramenta de gestão.

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Projeto de Mestrado apresentado ao Instituto Superior de Contabilidade e Administração do Porto, para obtenção do Grau de Mestre em Empreendedorismo e Internacionalização, sob orientação da Professora Doutora Ana Azevedo

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Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças, sob orientação da Doutora Albertina Paula Monteiro Esta versão contém as críticas e sugestões dos elementos do júri.

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This paper presents a Multi-Agent Market simulator designed for developing new agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. This tool studies negotiations based on different market mechanisms and, time and behavior dependent strategies. The results of the negotiations between agents are analyzed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies. The system also includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agent reactions.

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In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

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The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

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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.

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This paper presents an artificial neural network applied to the forecasting of electricity market prices, with the special feature of being dynamic. The dynamism is verified at two different levels. The first level is characterized as a re-training of the network in every iteration, so that the artificial neural network can able to consider the most recent data at all times, and constantly adapt itself to the most recent happenings. The second level considers the adaptation of the neural network’s execution time depending on the circumstances of its use. The execution time adaptation is performed through the automatic adjustment of the amount of data considered for training the network. This is an advantageous and indispensable feature for this neural network’s integration in ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to the market negotiating players of MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).

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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.

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In order to develop a flexible simulator, a variety of models for Ancillary Services (AS) negotiation has been implemented in MASCEM – a multi-agent system competitive electricity markets simulator. In some of these models, the energy and the AS are addressed simultaneously while in other models they are addressed separately. This paper presents an energy and ancillary services joint market simulation. This paper proposes a deterministic approach for solving the energy and ancillary services joint market. A case study based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve, and Non-Spinning Reserve services is used to demonstrate that the use of the developed methodology is suitable for solving this kind of optimization problem. The presented case study is based on CAISO real AS market data considers fifteen bids.

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The increase of distributed generation (DG) has brought about new challenges in electrical networks electricity markets and in DG units operation and management. Several approaches are being developed to manage the emerging potential of DG, such as Virtual Power Players (VPPs), which aggregate DG plants; and Smart Grids, an approach that views generation and associated loads as a subsystem. This paper presents a multi-level negotiation mechanism for Smart Grids optimal operation and negotiation in the electricity markets, considering the advantages of VPPs’ management. The proposed methodology is implemented and tested in MASCEM – a multiagent electricity market simulator, developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations.