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.

Decision support tool for Virtual Power Players: Hybrid Particle Swarm Optimization applied to Day-ahead Vehicle-To-Grid Scheduling

This paper presents a decision support tool methodology to help virtual power players (VPPs) in the Smart Grid (SGs) context to solve the day-ahead energy resource scheduling considering the intensive use of Distributed Generation (DG) and Vehicle-To-Grid (V2G). The main focus is the application of a new hybrid method combing a particle swarm approach and a deterministic technique based on mixedinteger linear programming (MILP) to solve the day-ahead scheduling minimizing total operation costs from the aggregator point of view. A realistic mathematical formulation, considering the electric network constraints and V2G charging and discharging efficiencies is presented. Full AC power flow calculation is included in the hybrid method to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.

Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

Upper Ontology for Multi-Agent Energy Systems’ Applications

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors research group has developed three multi-agent systems: MASCEM, which simulates the electricity markets; ALBidS that works as a decision support system for market players; and MASGriP, which simulates the internal operations of smart grids. To take better advantage of these systems, their integration is mandatory. For this reason, is proposed the development of an upper-ontology which allows an easier cooperation and adequate communication between them. Additionally, the concepts and rules defined by this ontology can be expanded and complemented by the needs of other simulation and real systems in the same areas as the mentioned systems. Each system’s particular ontology must be extended from this top-level ontology.

Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets

Electricity markets are complex environments with very particular characteristics. A critical issue concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, performed so that the competitiveness could be increased, but with exponential implications in the increase of the complexity and unpredictability in those markets’ scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behavior. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This paper presents the Multi-Agent System for Competitive Electricity Markets (MASCEM) – a simulator based on multi-agent technology that provides a realistic platform to simulate electricity markets, the numerous negotiation opportunities and the participating entities.

Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support

This paper presents the applicability of a reinforcement learning algorithm based on the application of the Bayesian theorem of probability. The proposed reinforcement learning algorithm is an advantageous and indispensable tool for ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to electricity market negotiating players. ALBidS uses a set of different strategies for providing decision support to market players. These strategies are used accordingly to their probability of success for each different context. The approach proposed in this paper uses a Bayesian network for deciding the most probably successful action at each time, depending on past events. The performance of the proposed methodology is tested using electricity market simulations in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets). MASCEM provides the means for simulating a real electricity market environment, based on real data from real electricity market operators.

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which simulates the electricity markets environment. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network, originating promising results. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator.

Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator

The energy sector in industrialized countries has been restructured in the last years, with the purpose of decreasing electricity prices through the increase in competition, and facilitating the integration of distributed energy resources. However, the restructuring process increased the complexity in market players' interactions and generated emerging problems and new issues to be addressed. In order to provide players with competitive advantage in the market, decision support tools that facilitate the study and understanding of these markets become extremely useful. In this context arises MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent based simulator that models real electricity markets. To reinforce MASCEM with the capability of recreating the electricity markets reality in the fullest possible extent, it is crucial to make it able to simulate as many market models and player types as possible. This paper presents a new negotiation model implemented in MASCEM based on the negotiation model used in day-ahead market (Elspot) of Nord Pool. This is a key module to study competitive electricity markets, as it presents well defined and distinct characteristics from the already implemented markets, and it is a reference electricity market in Europe (the one with the larger amount of traded power).

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations

Electricity markets worldwide suffered profound transformations. The privatization of previously nationally owned systems; the deregulation of privately owned systems that were regulated; and the strong interconnection of national systems, are some examples of such transformations [1, 2]. In general, competitive environments, as is the case of electricity markets, require good decision-support tools to assist players in their decisions. Relevant research is being undertaken in this field, namely concerning player modeling and simulation, strategic bidding and decision-support.

Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players

The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.

A 3-YEAR FOLLOW-UP OF A BRAZILIAN AIDS PATIENT WITH PROTRACTED DIARRHEA CAUSED BY Enterocytozoon bieneusi

Enterocytozoon bieneusi is the most prevalent microsporidian parasite that causes gastrointestinal infection in persons with AIDS. Microsporidia are increasingly recognized as important opportunistic pathogens all over the world but in Brazil only few cases have been reported due either to the non awareness of the clinical presentation of the disease or to difficulties in the laboratory diagnosis. We report a 3-year follow-up of a Brazilian HIV-positive patient in whom microsporidial spores were detected in stools and were identified as E. bieneusi using electron microscopy and PCR. The patient presented with chronic diarrhea, CD4 T-lymphocytes count below 100/mm3 and microsporidial spores were consistently detected in stools. Albendazole was given to the patient in several occasions with transient relief of the diarrhea, which reappeared as soon as the drug was discontinued. Nevertheless, a diarrhea-free period with weight gain up to 18 Kg occurred when a combination of nucleoside and protease inhibitors was initiated as part of the antiviral treatment.

Estudo das equações de interacção de colunas-viga do método 2 do Eurocódigo 3

Dissertação para obtenção do grau de Mestre em Engenharia Civil

Os custos das fracturas de etiologia osteoporótica em mulheres : institucionalização na Rede Nacional de Cuidados Continuados (RNCCI) e lares de 3ª idade

RESUMO - Contexto: A osteoporose é uma doença sistémica associada à diminuição da resistência óssea que condiciona o aparecimento de fracturas por traumatismos de baixa energia as quais reduzem em muitos casos a esperança e a qualidade de vida, implicando um elevado número de horas de dedicação dos cuidadores e conduzindo, em muitos casos, à necessidade de institucionalização dos doentes. Em Portugal, ocorrem cerca de 40.000 fracturas anualmente, das quais 8.500 do fémur proximal, que se estima consumirem mais de 50 milhões de euros só em cuidados hospitalares1. Objectivo: Avaliar o impacto económico da institucionalização na Rede Nacional de Cuidados Continuados Integrados e Lares da 3ª idade por fractura de etiologia osteoporótica em mulheres no ano 2009, em Portugal. Métodos: O estudo começa por analisar sucintamente os aspectos clínicos, sociais e epidemiológicos da osteoporose, focando a perda de autonomia e qualidade de vida dos doentes vítimas deste episódio e a subsequente necessidade de institucionalização. Descrevem-se os custos associados à institucionalização na RNCCI, em Portugal, ano 2009, utilizando como fonte principal a base de dados da instituição “Gestcare CCI”, complementada com dados da literatura. Apuram-se os custos totais associados ao encaminhamento dos doentes para Lares de 3ª Idade em Portugal no ano 2009, utilizando-se informação proveniente de um painel de Delphi modificado e dados da literatura. A valorização dos recursos tem por base os preços em vigor no território nacional, expressos nos decretos-lei devidamente referenciados. Resultados: No ano 2009 em Portugal foram empregues cerca de 2,5 milhões de euros no internamento das mulheres na RNCCI, na perspectiva da sociedade, sendo cerca de 2,2 milhões atribuíveis à osteoporose (90%). Cerca de 91% dos custos totais são alocados à fractura osteoporótica da anca (2 milhões €). Para a fractura vertebral, úmero e punho os custos foram mais baixos - 7,1%, 1,3% e 1% dos custos totais da osteoporose, respectivamente. Nos Lares de 3ª idade, estimou-se a admissão de aproximadamente 14.372 doentes com fractura osteoporótica em diferentes localizações, em 2009, Portugal, com um custo que oscilou entre os 19 e os 21,6 milhões de euros. A fractura osteoporótica da anca foi a mais incidente e a que representou custos mais elevados para a Segurança Social – entre 17,5 e 19,7 milhões de euros. Considerando como referência os 52 milhões de euros gastos em 2006 no tratamento hospitalar da fractura da anca (DGS, 2006), o encaminhamento das mulheres para a RNCCI e Lares da 3ª Idade corresponde a 42% do bolo total. Assim, os resultados nacionais enquadram-se no que se encontra descrito na literatura internacional - os custos atribuíveis à hospitalização oscilaram entre 17%50 e 63%29 da despesa total da doença e das institucionalizações entre os 16%58 e os 59%51. Conclusões: Em Portugal o impacto económico da institucionalização por fractura osteoporótica, sobretudo por fractura da anca, não é desprezável e mostra que existiriam poupanças significativas se fosse possível reduzir a prevalência da doença em Portugal. Face às alterações demográficas associadas ao envelhecimento da população, é expectável que a incidência e custos com o tratamento das fracturas do colo do fémur, mais associadas à osteoporose, venham a subir nos próximos anos, pelo que o combate à doença deve ser considerada uma prioridade nacional. A decisão pela opção por determinados programas de prevenção da doença ou da comparticipação ou não de determinada terapêutica necessita contudo de ser complementada com a medição da dimensão dos benefícios terapêuticos. --- ABSTRACT - Background: Osteoporosis is a systemic disease associated with the loss off the bone strength and it is one of the major causes of low energy fractures, which in many cases reduce life hope and quality. This happens because it has associated extensive treatments and it usually carries loss of independence, implying many hours of caregivers dedication and leading, in many cases, to the institutionalization of the patients. In Portugal, about 40,000 fractures occur annually, which 8,500 are proximal femur, and that are estimated to consume over 50 million euros only in hospital care. Objective: Evaluate the economic impact of institutionalization on the Integrated Continued Care National Network (RNCCI) and Care Homes associated to osteoporotic fractures in women, in the year 2009 in Portugal. Methods: The study begins by reviewing briefly the clinical, social, and epidemiological studies of osteoporosis and osteoporotic fractures, focusing on the patient autonomy loss and life quality. The total and average costs per episode associated with the institutionalization in RNCCI are described, in Portugal, year 2009, using as main data source the application "Gestcare CCI", complemented with literature data. The total costs associated with the patients referral for the Care Homes in Portugal in 2009 is also calculated, using information from a modified Delphi panel and some literature data. The resources valuation is based on prices prevailing in Portugal. Results: In 2009, women relocation in RNCCI consumed approximately 2.5 million euros, which 2.2 million are attributable to osteoporosis (90%). About 91% of the total costs are allocated to osteoporotic hip fracture (€ 2 million). For vertebral, humerus, and wrist fracture, the associated costs were lower, 7.1%, 1.3%, and 1% of total costs of osteoporosis treatment, respectively. In Care Homes, an intake of approximately 14 372 patients with osteoporotic fracture was estimated, at a cost that is between 19 and 21.6 million euros. The osteoporotic hip fracture was the most frequent and represented higher costs for Social Security - between 17.5 and 19.7 million euros. Taking as reference the 52 million spent in 2006 with hospital treatment of hip fracture (DGS, 2006), referring women to RNCCI and Care Homes represents 42% of the total costs. The results are in accordance with the international literature - costs attributable to hospitalization ranged between 17% and 63% of total expenditure of illness and institutionalization between 16% and 59%. Conclusions: In Portugal, the economic impact of institutionalization for osteoporotic fracture, particularly for hip fracture, is not negligible. It was shown that there would be significant savings if it were possible to reduce the prevalence of the disease in Portugal. Femoral fractures were the second most frequent diagnosis in RNCCI in 2008 and 2009 (16% of all episodes recorded). The execution of RNCCI in 2008 was 75 million euros, and 2.7% consumed by hip fracture and 0.3% by wrist, humerus, and spine fractures. The average cost per episode in 2009, from the perspective of society, for hip fracture, vertebral, humerus, and wrist (or non-osteoporotic) was € 5,195, € 5,160, € 5,030, and € 4,854 respectively. Thus, considering an average cost per episode in RNCCI from January to March of 3230€, the expense related to the treatment of these patients in RNCCI in 2009 was higher. For the Care Homes, an intake of approximately 14 372 patients with osteoporotic fracture in 2009 was estimated, at a cost to Social Security that ranged from 19 to 21.6 million €. The osteoporotic hip fracture was the most frequent and it was shown to absorve higher resources from Social Security - between 17.5 and 19.7 million €. This was followed by the analysis of vertebral and humerus fracture and the results showed that these fractures have a low incidence and low proportion of institutionalization, with a significantly lower cost - only about 4.7% and 3.3% of total expenditure, respectively. With demographic changes associated to ageing, it is expected that the incidence and treatment cost of the femoral neck fractures, more commonly associated with osteoporosis, will climb in coming years, so the fight against the disease should be considered a national priority. The decision to choose a certain disease prevention program or to reimburse a certain drug not should only account about the costs, but also the benefits of it. In fact, the size and impact of this problem, makes it necessary to focus all interventions in the prevention of these episodes either by using an appropriate therapy, either through real programs for disease prevention. Once the problem is installed, we must measure the health gains associated with the patient institutionalization by conducting additional research.

First isolation of dengue 3 in Brazil from an imported case

The authors report the isolation of dengue 3 virus for the first time in Brazil. The patient, resident in Limeira-SP, traveled to Nicaragua on May 16th, 1998, where he stayed for two months. Starting on August 14th he had fever, headache, myalgia, arthralgia, retro-orbital pain and diarrhea. He returned to Brazil on August 16th and was hospitalized in the next day. The patient had full recovery and was discharged on August 20th. The virus was isolated in C6/36 cell culture inoculated with serum collected on the 6th day after the onset of the symptoms. The serotype 3 was identified by indirect immunofluorescence assays performed with type-specific monoclonal antibodies. This serotype was further confirmed by polymerase chain reaction analysis. The introduction of a new dengue serotype in a susceptible population is a real threat for the occurrence of severe forms of the disease. The isolation and identification of dengue virus are important in order to monitoring the serotypes circulating in Brazil and to take the measures necessary to prevent and control an epidemic.