Virtual power producers integration into MASCEM

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. Under this context distributed generators, owned by different decentralized players can provide a significant amount of the electricity generation. To get negotiation power and advantages of scale economy, these players can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multi-technology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the integration of Virtual Power Producers into an electricity market simulator –MASCEM – as a coalition of distributed producers.

Real-time energy resources scheduling considering intensive wind penetration

The use of distributed energy resources, based on natural intermittent power sources, like wind generation, in power systems imposes the development of new adequate operation management and control methodologies. A short-term Energy Resource Management (ERM) methodology performed in two phases is proposed in this paper. The first one addresses the day-ahead ERM scheduling and the second one deals with the five-minute ahead ERM scheduling. The ERM scheduling is a complex optimization problem due to the high quantity of variables and constraints. In this paper the main goal is to minimize the operation costs from the point of view of a virtual power player that manages the network and the existing resources. The optimization problem is solved by a deterministic mixedinteger non-linear programming approach. A case study considering a distribution network with 33 bus, 66 distributed generation, 32 loads with demand response contracts and 7 storage units and 1000 electric vehicles has been implemented in a simulator developed in the field of the presented work, in order to validate the proposed short-term ERM methodology considering the dynamic power system behavior.

Remuneration and tariffs in the context of virtual power players

Power systems have been through deep changes in recent years, namely with the operation of competitive electricity markets in the scope and 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 player type which 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 dealing with excessive wind power situations using real time pricing

The increasing importance given by environmental policies to the dissemination and use of wind power has led to its fast and large integration in power systems. In most cases, this integration has been done in an intensive way, causing several impacts and challenges in current and future power systems operation and planning. One of these challenges is dealing with the system conditions in which the available wind power is higher than the system demand. This is one of the possible applications of demand response, which is a very promising resource in the context of competitive environments that integrates even more amounts of distributed energy resources, as well as new players. The methodology proposed aims the maximization of the social welfare in a smart grid operated by a virtual power player that manages the available energy resources. When facing excessive wind power generation availability, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. The proposed method is especially useful when actual and day-ahead wind forecast differ significantly. The proposed method has been computationally implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20310 consumers and 548 distributed generators, some of them with must take contracts.

Virtual power producers market strategies

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper detail some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

A colonoscopia virtual no rastreio do cancro colo rectal

O cancro colo - rectal (CCR) é um problema de saúde mundial, estando associadas elevadas taxas de mortalidade e morbilidade. A maioria de CCR deriva de pólipos adenomatosos.. Um estudo retrospectivo, efectuado no serviço de Radiologia, dos achados imagiológicos típicos e atípicos, entre Janeiro de 2008 e Junho 2010. A Colonoscopia Virtual, apresenta uma sensibilidade elevada na detecção de lesões, com dimensão superior a 10mm, permitindo um diagnóstico precoce, é um exame rápido, pouco invasivo, não há necessidade de sedação e é efectuada em ambulatório.

LMP triggered real time demand response events

Recent changes in power systems mainly due to the substantial increase of distributed generation and to the operation in competitive environments has created new challenges to operation and planning. In this context, Virtual Power Players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Demand response market implementation has been done in recent years. Several implementation models have been considered. An important characteristic of a demand response program is the trigger criterion. A program for which the event trigger depends on the Locational Marginal Price (LMP) used by the New England Independent System operator (ISO-NE) inspired the present paper. This paper proposes a methodology to support VPP demand response programs management. The proposed method has been computationally implemented and its application is illustrated using a 32 bus network with intensive use of distributed generation. Results concerning the evaluation of the impact of using demand response events are also presented.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Renewable-based generation integration in electricity markets with virtual power producers

The development of renewable energy sources and Distributed Generation (DG) of electricity is of main importance in the way towards a sustainable development. However, the management, in large scale, of these technologies is complicated because of the intermittency of primary resources (wind, sunshine, etc.) and small scale of some plants. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. VPPs can ensure a secure, environmentally friendly generation and optimal management of heat, electricity and cold as well as optimal operation and maintenance of electrical equipment, including the sale of electricity in the energy market. For attaining these goals, there are important issues to deal with, such as reserve management strategies, strategies for bids formulation, the producers’ remuneration, and the producers’ characterization for coalition formation. This chapter presents the most important concepts related with renewable-based generation integration in electricity markets, using VPP paradigm. The presented case studies make use of two main computer applications:ViProd and MASCEM. ViProd simulates VPP operation, including the management of plants in operation. MASCEM is a multi-agent based electricity market simulator that supports the inclusion of VPPs in the players set.

MASCEM - an electricity market simulator providing coalition support for virtual power players

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.

Dispachability improvement of wind generation by the virtual power producers

Nowadays, there is a growing environmental concern about were the energy that we use comes from, bringing the att ention on renewable energies. However, the use and trade of renewable e nergies in the market seem to be complicated because of the lack of guara ntees of generation, mainly in the wind farms. The lack of guarantees is usually addressed by using a reserve generation. The aggregation of DG p lants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of wind generation technologies, making them valuable in electricity markets. This paper presents some resul ts obtained with a simulation tool (ViProd) developed to support VPPs in the analysis of their operation and management methods and of their strat egies effects.

Desenvolvimento de uma ferramenta de pré-selecção de recursos para empresas ágeis/virtuais

Mestrado em Engenharia Electrotécnica e de Computadores

Desenvolvimento de metodologias analíticas para a determinação de resíduos de pesticidas em Vinhos do Douro e Vinhos do Porto

A produção de vinho é uma actividade de elevada importância ao nível económico, ambiental e social. Como tal, a protecção da vinha e/ou da uva através da utilização de pesticidas assume um papel fundamental nesta actividade, permitindo um aumento no rendimento da produção. No entanto, a transferência destes compostos da uva para o vinho é inevitável, ocorrendo, na maioria dos casos, em quantidades reduzidas. Apesar de, geralmente, a quantidade de pesticidas que pode ser transferida para o vinho não apresentar problemas relevantes para a saúde pública, o desenvolvimento de metodologias que permitam garantir um controlo rigoroso da qualidade do vinho é de elevada importância. O controlo deste produto, assim como de qualquer produto alimentar, não deve ser de certa forma virtual, levando a uma desconfiança crescente do consumidor. Ao longo deste trabalho foram desenvolvidos dois métodos para a determinação de pesticidas em diferentes tipos de vinhos, por SPME-GC-MS/MS. O primeiro método desenvolvido visa a determinação de 8 pesticidas organofosforados e o segundo método permite a determinação de 7 pesticidas, 4 organoclorados e 3 dicarboximidas. Foram estudadas quatro matrizes diferentes: vinho branco do Douro, vinho tinto do Douro, vinho branco do Porto e vinho tinto do Porto. As metodologias adoptadas permitiram a obtenção de bons resultados, apesar das condições adoptadas não serem as mais vantajosas para alguns dos compostos estudados. Dada a complexidade das matrizes, a detecção por espectrometria de massa mostrou ser fundamental para a identificação inequívoca de cada um dos pesticidas. Verificaram-se, de um modo geral, bons resultados ao nível da linearidade, para as gamas de concentrações escolhidas, para os dois métodos. Obtiveram-se também bons resultados para os limites de detecção e quantificação, cujos valores se situam abaixo dos limites máximos de resíduos para as uvas, impostos pela regulamentação europeia, para a maioria dos compostos. No caso dos organofosforados, os limites de detecção variam entre 0,05 μg/L e 13,00 μg/L para os pesticidas clorpirifos-metilo e metidatião, respectivamente. Os limites de quantificação variam entre 0,18 μg/L e 43,32 μg/L, também para os pesticidas clorpirifos-metilo e metidatião. No que se refere ao método para os pesticidas organoclorados e dicarboximidas, foram calculados vários limites de detecção para cada composto, em cada matriz estudada, a partir das rectas de calibração diárias, resultando num conjunto de valores com variações significativas entre cada um, para o mesmo pesticida e na mesma matriz. No entanto, apenas os limites de quantificação foram validados, recorrendo-se aos estudos de repetibilidade e precisão intermédia. Obtiveram-se os seguintes limites de quantificação: captana 52,10 μg/L; clortalonil 20,95 μg/L; dicofol 4,37 μg/L; folpete 93,60 μg/L; iprodiona 274,70 μg/L; procimidona 76,04 μg/L e vinclozolina 10,03 μg/L. Os pesticidas metidatião e captana apresentam-se como os compostos mais problemáticos, uma vez que os limites de quantificação obtidos não permitem a garantia do cumprimento dos limites máximos de resíduos regulamentados. Demonstra-se também que, apesar do efeito de matriz ser significativo na determinação de todos os compostos analisados, o mesmo pode ser atenuado, procedendo-se às calibrações nas respectivas matrizes. Observaram-se variações significativas ao nível da resposta do equipamento ao longo do tempo, quer pela alteração das condições operatórias, quer pela decomposição de alguns compostos ao longo do tempo. Este efeito, evidenciado nos estudos das precisões intermédias e repetibilidades, levou à adopção de um método de validação diferente para a determinação de pesticidas organoclorados e dicarboximidas, recorrendo-se então a calibrações diárias e sequências de trabalho mais pequenas.

Acesso a laboratórios remotos via ambientes imersivos acesso remoto a um multímetro

Recentemente, tem-se assistido à utilização de ambientes imersivos 3D em vários domínios tais como: actividades empresariais, educativas, lúdicas, entre outras devido à expansão do Second Life. A finalidade deste conceito é oferecer aos utilizadores um acesso alternativo a valências existentes no mundo real, a partir de um computador ligado à Internet. Uma aplicação prática pode ser a sua utilização em laboratórios remotos, com a finalidade de controlar remotamente instrumentos de medição, a partir de um ambiente imersivo. Para isso, o mesmo deve permitir a construção de um laboratório virtual e respectivos instrumentos, também virtuais. Este tipo de solução é viável, devido a existirem dispositivos com interfaces de acesso remoto, e ambientes 3D desenvolvidos em linguagens de programação que possuem bibliotecas de código para protocolos de redes de computadores. A finalidade deste trabalho é desenvolver uma metodologia de acesso remoto, a instrumentos de medição em laboratórios de electricidade e electrónica, usando ambientes imersivos 3D. Como caso de estudo, o instrumento utilizado é um multímetro, controlado remotamente a partir de uma reprodução num mundo virtual, construído no ambiente 3D Open Wonderland. Nessa reprodução virtual, numa primeira fase, só serão disponibilizadas para medição, um conjunto limitado das variáveis eléctricas passíveis de medir através do multímetro seleccionado.