A multi-agent system for the support of producer coalition formation in electricity markets

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. To get negotiation power and advantages of scale economy, distributed producers can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multitechnology 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 development of a multi-agent market simulator – MASCEM – able to study alternative coalitions of distributed producers in order to identify promising Virtual Power Producers in an electricity market.

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.

A new approach for multi-agent coalition formation and management in the scope of electricity markets

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). 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. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Multi-agent negotiation for coalition formation and management in electricity markets

Negotiation is a fundamental tool for reaching understandings that allow each involved party to gain an advantage for themselves by the end of the process. In recent years, with the increasing of compe-titiveness in most sectors, negotiation procedures become present in practically all of them. One particular environment in which the competitiveness has been increasing exponentially is the electricity markets sector. This work is directed to the study of electricity markets’ partici-pating entities interaction, namely in what concerns the formation, management and operation of aggregating entities – Virtual Power Players (VPPs). VPPs are responsible for managing coalitions of market players with small market negotiating influence, which take strategic advantage in entering such aggregations, to increase their negotiating power. This chapter presents a negotiation methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using MASCEM, taking advantage of its ability to provide the means to model and simulate VPPs. 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.

Agent based simulation for group formation

Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made just by one individual. The simulation of group decision making through a Multi-Agent System is a very interesting research topic. The purpose of this paper it to specify the actors involved in the simulation of a group decision, to present a model to the process of group formation and to describe the approach made to implement that model. In the group formation model it is considered the existence of incomplete and negative information, which was identified as crucial to make the simulation closer to the reality.

Determinação de germânio em alimentos por espectrometria de massa ligada a um plasma acoplada indutivamente (ICP-MS)

Nos dias de hoje existe uma grande preocupação da população em fazer uma alimentação mais saudável, uma alimentação que tenha nos seus alimentos elementos que não prejudiquem a saúde mas sim que a tornem mais forte. Um desses elementos que pode trazer benefício para a saúde é o Germânio, elemento de estudo no presente trabalho. Neste trabalho determinou-se a concentração de Germânio em alguns alimentos. Os alimentos usados foram: espargos, ginseng, cogumelos, rabanete, gengibre, aloé vera e alho. Para se fazer a decomposição das amostras foi usada uma solução de ácido nítrico concentrado (67%) e peróxido de hidrogénio (30%), de seguida as soluções resultantes foram analisadas por espectrometria de massa ligado a um plasma acoplado indutivamente (Inductive Coupled Plasma - Mass Spectrometry (ICP-MS)). Esta técnica permitiu estudar os três isótopos mais abundantes de germânio (Ge70, Ge72 e Ge74). Como principais resultados deste trabalho pode-se referir que o alimento que apresenta uma maior concentração de Germânio é o ginseng (243,0 ng/g), seguindo-se o alho (152,6 ng/g). Com concentrações bastante próximas ficaram os espargos, gengibre e cogumelos com um valor aproximado de 75 ng/g. As concentrações mais baixas formam encontradas no aloé vera e rabanete, com valores de 38,16 e 21,85ng/g respectivamente. Com estes resultados podemos concluir que para ter uma alimentação rica neste elemento deve-se ingerir ginseng e alho pois dos alimentos estudados são os mais ricos em Germânio.

Thermodynamic pathway for the formation of SnSe and SnSe2 polycrystalline thin films by selenization of metal precursors

In this work, tin selenide thin films (SnSex) were grown on soda lime glass substrates by selenization of dc magnetron sputtered Sn metallic precursors. Selenization was performed at maximum temperatures in the range 300 °C to 570 °C. The thickness and the composition of the films were analysed using step profilometry and energy dispersive spectroscopy, respectively. The films were structurally and optically investigated by X-ray diffraction, Raman spectroscopy and optical transmittance and reflectance measurements. X-Ray diffraction patterns suggest that for temperatures between 300 °C and 470 °C, the films are composed of the hexagonal-SnSe2 phase. By increasing the temperature, the films selenized at maximum temperatures of 530 °C and 570 °C show orthorhombic-SnSe as the dominant phase with a preferential crystal orientation along the (400) crystallographic plane. Raman scattering analysis allowed the assignment of peaks at 119 cm−1 and 185 cm−1 to the hexagonal-SnSe2 phase and those at 108 cm−1, 130 cm−1 and 150 cm−1 to the orthorhombic-SnSe phase. All samples presented traces of condensed amorphous Se with a characteristic Raman peak located at 255 cm−1. From optical measurements, the estimated band gap energies for hexagonal-SnSe2 were close to 0.9 eV and 1.7 eV for indirect forbidden and direct transitions, respectively. The samples with the dominant orthorhombic-SnSe phase presented estimated band gap energies of 0.95 eV and 1.15 eV for indirect allowed and direct allowed transitions, respectively.

Dynamic QoS-Aware coalition formation

Users of wireless devices increasingly demand access to multimedia content with speci c quality of service requirements. Users might tolerate di erent levels of service, or could be satis ed with di erent quality combinations choices. However, multimedia processing introduces heavy resource requirements on the client side. Our work tries to address the growing demand on resources and performance requirements, by allowing wireless nodes to cooperate with each other to meet resource allocation requests and handle stringent constraints, opportunistically taking advantage of the local ad-hoc network that is created spontaneously, as nodes move in range of each other, forming a temporary coalition for service execution. Coalition formation is necessary when a single node cannot execute a speci c service, but it may also be bene cial when groups perform more e ciently when compared to a single s node performance.

A distributed algorithm for hexagonal topology formation in wireless sensor networks

Hexagonal wireless sensor network refers to a network topology where a subset of nodes have six peer neighbors. These nodes form a backbone for multi-hop communications. In a previous work, we proposed the use of hexagonal topology in wireless sensor networks and discussed its properties in relation to real-time (bounded latency) multi-hop communications in large-scale deployments. In that work, we did not consider the problem of hexagonal topology formation in practice - which is the subject of this research. In this paper, we present a decentralized algorithm that forms the hexagonal topology backbone in an arbitrary but sufficiently dense network deployment. We implemented a prototype of our algorithm in NesC for TinyOS based platforms. We present data from field tests of our implementation, collected using a deployment of fifty wireless sensor nodes.

S100A6 Amyloid Fibril Formation Is Calcium-modulated and Enhances Superoxide Dismutase-1 (SOD1) Aggregation

S100A6 is a small EF-hand calcium- and zinc-binding protein involved in the regulation of cell proliferation and cytoskeletal dynamics. It is overexpressed in neurodegenerative disorders and a proposed marker for Amyotrophic Lateral Sclerosis (ALS). Following recent reports of amyloid formation by S100 proteins, we investigated the aggregation properties of S100A6. Computational analysis using aggregation predictors Waltz and Zyggregator revealed increased propensity within S100A6 helices HI and HIV. Subsequent analysis of Thioflavin-T binding kinetics under acidic conditions elicited a very fast process with no lag phase and extensive formation of aggregates and stacked fibrils as observed by electron microscopy. Ca2+ exerted an inhibitory effect on the aggregation kinetics, which could be reverted upon chelation. An FT-IR investigation of the early conformational changes occurring under these conditions showed that Ca2+ promotes anti-parallel β-sheet conformations that repress fibrillation. At pH 7, Ca2+ rendered the fibril formation kinetics slower: time-resolved imaging showed that fibril formation is highly suppressed, with aggregates forming instead. In the absence of metals an extensive network of fibrils is formed. S100A6 oligomers, but not fibrils, were found to be cytotoxic, decreasing cell viability by up to 40%. This effect was not observed when the aggregates were formed in the presence of Ca2+. Interestingly, native S1006 seeds SOD1 aggregation, shortening its nucleation process. This suggests a cross-talk between these two proteins involved in ALS. Overall, these results put forward novel roles for S100 proteins, whose metal-modulated aggregation propensity may be a key aspect in their physiology and function.

Effect of active components from Garlic on AGEs formation

Advanced glycation end-products are Maillard reaction products that are found in thermal processed food. This compounds are often referred as unhealthy for human diet, namely because of their capacity to form amino-acid dimers. There is a broad range of answers to get about how these products are formed, how they interact with the organism and how these reactions can be inhibited to prevent the referred effects. Some compounds from garlic are thought to be able to inhibit these reactions. This study using spectrophotometric, High Performance Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS/MS) and Fourier transformed infrared spectroscopy (FTIR) analysis, helps to understand better not only not only the effect of some compounds obtained from garlic, diallyl sulfide (DAS), diallyl disulfide (DADS) and diallyl trisulfide (DATS), on these AGEs production reaction, but also helped to understand better the reaction itself.

Formation Control Driven by Cooperative Object Tracking

In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles.

Role of oxidative stress-induced systemic and cavernosal molecular alterations in the progression of diabetic erectile dysfunction

Background Erectile dysfunction (ED) is a prevalent complication of diabetes, and oxidative stress is an important feature of diabetic ED. Oxidative stress-induced damage plays a pivotal role in the development of tissue alterations. However, the deleterious effects of oxidative stress in the corpus cavernosum with the progression of diabetes remain unclear. The aim of this study was to evaluate systemic and penile oxidative stress status in the early and late stages of diabetes. Methods Male Wistar streptozotocin-diabetic rats (and age-matched controls) were examined 2 (early) and 8 weeks (late) after the induction of diabetes. Systemic oxidative stress was evaluated by urinary H2O2 and the ratio of circulating reduced/oxidized glutathione (GSH/GSSG). Penile oxidative status was assessed by H2O2 production and 3-nitrotyrosine (3-NT) formation. Cavernosal endothelial nitric oxide synthase (eNOS) was analyzed by quantitative immunohistochemistry. Dual immunofluorescence was also performed for 3-NT and α-smooth muscle actin (α-SMA) and eNOS–α-SMA. Results There was a significant increase in urinary H2O2 levels in both diabetic groups. The plasma GSH/GSSG ratio was significantly augmented in late diabetes. In cavernosal tissue, H2O2 production was significantly increased in late diabetes. Reactivity for 3-NT was located predominantly in cavernosal smooth muscle (SM) and was significantly reduced in late diabetes. Quantitative immunohistochemistry revealed a significant decrease in eNOS levels in cavernosal SM and endothelium in late diabetes. Conclusions The findings indicate that the noxious effects of oxidative stress are more prominent in late diabetes. Increased penile protein oxidative modifications and decreased eNOS expression may be responsible for structural and/or functional deregulation, contributing to the progression of diabetes-associated ED.

Comparação dos Perfis Lipídicos de Plasma de uma População da Região Norte

Os ácidos gordos desempenham um papel fisiológico importante como componentes indispensáveis na estrutura celular, bem como fontes de energia. Nas últimas décadas, tem havido um aumento notável do interesse público nos ácidos gordos polinsaturados ómegas 3 e 6 e no seu impacto sobre a saúde humana, especialmente em doenças metabólicas e cardiovasculares. Estes ácidos gordos específicos podem prevenir e/ou tratar várias patologias metabólicas, atuando nomeadamente como compostos anti-inflamatórios. A menopausa é um fator de risco para doença cardiovascular, a diminuição de estrogénio, que ocorre neste estado fisiológico, provoca disfunção endotelial e stresse oxidativo. Consequentemente há uma redução dos níveis de ácidos gordos polinsaturados ómegas 3, o que contribui para o aparecimento de aterosclerose e doença cardiovascular. Neste contexto, o objetivo deste estudo foi avaliar e caracterizar o perfil lipídico de ácidos gordos de uma amostra de mulheres pós-menopausa e com este, estudar as associações entre o perfil lipídico determinado e parâmetros metabólicos de risco (parâmetros clínicos e bioquímicos). Inicialmente, os ácidos gordos foram extraídos da matriz plasmática através da derivatização destes e a sua composição percentual no plasma foi determinada com recurso a cromatografia gasosa com deteção de ionização de chama. De seguida, através do software IBM SPSS Statistics 21, foram estabelecidas associações entre os parâmetros clínicos e bioquímicos e o perfil lipídico determinado. A população em estudo foi divida em dois grupos consoante o período de entrada na menopausa (há menos de 7 anos e há 7 anos ou mais). Não há conhecimento de estudos semelhantes ao apresentado, que relacionem todo o perfil de ácidos gordos com parâmetros metabólicos de risco considerando o estado menopausal. Os resultados obtidos mostram que o perfil lipídico influencia vários marcadores metabólicos / endócrinos com relevância clínica que devem ser explorados em futuros ensaios clínicos. Para as mulheres na menopausa há menos de 7 anos foram estabelecidas as seguintes relações: i) entre os ácidos gordos saturados e insaturados cis e os níveis de ALP; ii) entre os ácidos gordos mono e polinsaturados cis e os níveis de GGT, IL10 e estradiol; iii) entre os ácidos gordos polinsaturados trans e o IMC e os níveis de IL6; iv) entre os ómegas 3 e os níveis de IL10 e ácido úrico; v) entre os ómegas 6 e os níveis de estradiol, ALP e GGT; vi) entre os ómegas 9 e os níveis de estradiol e GGT; vi) entre os ácidos gordos de curta cadeia e os níveis de colesterol total, LDL, triglicerídeos e IL10; vii) entre os ácidos gordos saturados de cadeia longa e o ΣÁcido láurico, mirístico, palmítico e esteárico e os níveis de triglicerídeos, ALP e GGT; viii) os níveis de IL10 podem ser simultaneamente associados com os ácidos gordos de curta cadeia e os ómegas 3. Para as mulheres na menopausa há 7 anos ou mais foram estabelecidas relações: i) entre os ómegas 3 e o IMC e os níveis de triglicerídeos; ii) entre os ácidos gordos monoinsaturados cis e os ómegas 9 com os níveis de ALT. Relações independentes do estado menopausal também foram estabelecidas, nomeadamente: i) entre os ácidos gordos polinsaturados cis e ómegas 6 e os níveis de ALT, triglicerídeos e AST; ii) entre os níveis de ácidos gordos monoinsaturados cis e ómegas 9 e os níveis de AST e triglicerídeos. O perfil lipídico de ácidos gordos pode ser considerado um biomarcador para a condição de saúde da mulher na menopausa.