LMP based bid formation for virtual power players operating in smart grids

Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units.

Auction of financial transmission rights in electricity market environment

An auction model is used to increase the individual profits for market players with products they do not use. A Financial Transmission Rights Auction has the goal of trade transmission rights between Bidders and helps them raise their own profits. The ISO plays a major rule on keep the system in technical limits without interfere on the auctions offers. In some auction models the ISO decide want bids are implemented on the network, always with the objective maximize the individual profits for all bidders in the auction. This paper proposes a methodology for a Financial Transmission Rights Auction and an informatics application. The application receives offers from the purchase and sale side and considers bilateral contracts as Base Case. This goal is maximize the individual profits within the system in their technical limits. The paper includes a case study for the 30 bus IEEE test case.

MASCEM: electricity markets simulation with strategic agents

Electricity markets are complex environments, involving numerous entities trying to obtain the best advantages and profits while limited by power-network characteristics and constraints.1 The restructuring and consequent deregulation of electricity markets introduced a new economic dimension to the power industry. Some observers have criticized the restructuring process, however, because it has failed to improve market efficiency and has complicated the assurance of reliability and fairness of operations. To study and understand this type of market, we developed the Multiagent Simulator of Competitive Electricity Markets (MASCEM) platform based on multiagent simulation. The MASCEM multiagent model includes players with strategies for bid definition, acting in forward, day-ahead, and balancing markets and considering both simple and complex bids. Our goal with MASCEM was to simulate as many market models and player types as possible. This approach makes MASCEM both a short- and mediumterm simulation as well as a tool to support long-term decisions, such as those taken by regulators. This article proposes a new methodology integrated in MASCEM for bid definition in electricity markets. This methodology uses reinforcement learning algorithms to let players perceive changes in the environment, thus helping them react to the dynamic environment and adapt their bids accordingly.

Accounting accruals and information asymmetry in Europe

We investigate whether the positive relation between accounting accruals and information asymmetry documented for U.S. stock markets also holds for European markets, considered as a whole and at the country level. This research is relevant because this relation is likely to be affected by differences in accounting standards used by companies for financial reporting, in the traditional use of the banking system or capital markets for firm financing, in legal systems and cultural environment. We find that in European stock markets discretionary accruals are positively related with the Corwin and Schultz high-low spread estimator used as a proxy for information asymmetry. Our results suggest that the earnings management component of accruals outweighs the informational component, but the significance of the relation varies across countries. Further, such association tends to be stronger for firms with the highest levels of positive discretionary accruals. Consistent with the evidence provided by the authors, our results also suggest that the high-low spread estimator is more efficient than the closing bid-ask spread when analysing the impact of information quality on information asymmetry.

Estratégias defensivas em contexto nacional e comportamentos acionistas das empresas em situação de OPA

A compreensão do conceito de OPA é essencial de forma a entender o funcionamento das combinações empresariais. Esta dissertação tem dois objetivos. O primeiro objetivo tem a finalidade de perceber quais as estratégias defensivas mais eficazes em contexto de OPA. Foi através de um inquérito realizado a 192 empresas envolvidas em situação de OPA entre os anos 1991 e 2014. Através dos resultados das 14 respostas destaca-se que a Recompra de Ações é a estratégia defensiva mais utilizada, tanto em situações de defesas pré-proposta e pós-proposta. A defesa consegue evitar o sucesso, da proposta efetuada pela empresa adquirente, em mais de metade das situações em que é utilizada, tendo sido classificada como muito eficaz. 5 das operações foram de cariz hostil e 7 delas eram expectáveis pela Gestão. Em nenhuma das operações se verificou contraoperação e as áreas mais prejudicadas, pela iniciativa de OPA, foram as respeitantes ao tempo, Time-consuming, e estratégicas. O segundo objetivo tenta perceber o comportamento dos retornos médios anormais das empresas envolvidas numa OPA em face do respetivo anúncio preliminar. Seguiram-se as metodologias de Ball & Brown (1968) e Beaver (1968). Identificaram-se 100 operações compreendidas entre os anos 2000 e 2014. Através do resultado das 12 operações analisadas confirma-se que as empresas-alvo apresentam um retorno médio anormal superior ao das empresas adquirentes e que têm a tendência de acumular retornos médios anormais positivos, pelo contrário as empresas adquirentes têm a tendência de acumular retornos médios anormais negativos. Globalmente, as empresas reagem fortemente ao anúncio preliminar e apresentam uma tendência de ganho nos períodos circundantes e não-circundantes.

A Avaliação Imobiliária e a sua relação com o Investimento

O presente relatório visa cumprir os requisitos da unidade curricular Dissertação, Projeto ou Estágio (DIPRE) do mestrado em Engenharia Civil do Instituto Superior de Engenharia do Porto (ISEP). O estágio curricular decorreu na empresa VPM - Vaz Pinto Mendes - Unipessoal Lda, sob o tema: “A avaliação imobiliária e a sua relação com o investimento”. A avaliação imobiliária visa determinar o valor associado aos bens imóveis. Pode ser aplicada a todo o tipo de bens imóveis, tais como: apartamentos e moradias uni e multifamiliares, espaços comerciais e de serviços, quintas, unidades hoteleiras e industriais, complexos desportivos, entre outros. A avaliação imobiliária poderá ser solicitada por parte de proprietários ou arrendatários dos imóveis, por empresas, tribunais, advogados e solicitadores. Apresenta diversos fins, tais como a determinação do valor de indemnização devido a expropriações, o financiamento hipotecário para compra ou construção de imóveis, partilhas, estudo de um investimento financeiro, intenção de venda ou arrendamento, efeitos fiscais ou apenas o simples conhecimento do valor aproximado das propriedades que se possui. O presente estudo visa abordar o atual mercado imobiliário nacional, o procedimento de realização de uma avaliação imobiliária e principalmente os métodos de avaliação tradicionais.