Energy resources scheduling in competitive environment

The increasing use of distributed generation units based on renewable energy sources, the consideration of demand-side management as a distributed resource, and the operation in the scope of competitive electricity markets have caused important changes in the way that power systems are operated. The new distributed resources require an entity (player) capable to make them able to participate in electricity markets. This entity has been known as Virtual Power Player (VPP). VPPs need to consider all the business opportunities available to their resources, considering all the relevant players, the market and/or other VPPs to accomplish their goals. This paper presents a methodology that considers all these opportunities to minimize the operation costs of a VPP. The method is applied to a distribution network managed by four independent VPPs with intensive use of distributed resources.

Contexts-management strategy in considering the security in urban computing based on urban design

Urban Computing (UrC) provides users with the situation-proper information by considering context of users, devices, and social and physical environment in urban life. With social network services, UrC makes it possible for people with common interests to organize a virtual-society through exchange of context information among them. In these cases, people and personal devices are vulnerable to fake and misleading context information which is transferred from unauthorized and unauthenticated servers by attackers. So called smart devices which run automatically on some context events are more vulnerable if they are not prepared for attacks. In this paper, we illustrate some UrC service scenarios, and show important context information, possible threats, protection method, and secure context management for people.

Distribution network short term scheduling in Smart Grid context

The large increase of Distributed Generation (DG) in Power Systems (PS) and specially in distribution networks makes the management of distribution generation resources an increasingly important issue. Beyond DG, other resources such as storage systems and demand response must be managed in order to obtain more efficient and “green” operation of PS. More players, such as aggregators or Virtual Power Players (VPP), that operate these kinds of resources will be appearing. This paper proposes a new methodology to solve the distribution network short term scheduling problem in the Smart Grid context. This methodology is based on a Genetic Algorithms (GA) approach for energy resource scheduling optimization and on PSCAD software to obtain realistic results for power system simulation. The paper includes a case study with 99 distributed generators, 208 loads and 27 storage units. The GA results for the determination of the economic dispatch considering the generation forecast, storage management and load curtailment in each period (one hour) are compared with the ones obtained with a Mixed Integer Non-Linear Programming (MINLP) approach.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of 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 32 bus distribution network.

VPP´s multi-level negotiation in smart grids and competitive electricity markets

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.

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.

Multilevel negotiation in smart grids for VPP management of distributed resources

A multilevel negotiation mechanism for operating smart grids and negotiating in electricity markets considers the advantages of virtual power player management.

Technical and economic resources management in smart grids using heuristic optimization methods

Intensive use of Distributed Generation (DG) represents a change in the paradigm of power systems operation making small-scale energy generation and storage decision making relevant for the whole system. This paradigm led to the concept of smart grid for which an efficient management, both in technical and economic terms, should be assured. This paper presents a new approach to solve the economic dispatch in smart grids. The proposed methodology for resource management involves two stages. The first one considers fuzzy set theory to define the natural resources range forecast as well as the load forecast. The second stage uses heuristic optimization to determine the economic dispatch considering the generation forecast, storage management and demand response

Distributed energy resources management with cyber-physical SCADA in the context of future smart grids

In the energy management of a small power system, the scheduling of the generation units is a crucial problem for which adequate methodologies can maximize the performance of the energy supply. This paper proposes an innovative methodology for distributed energy resources management. The optimal operation of distributed generation, demand response and storage resources is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The paper deals with a vision for the grids of the future, focusing on conceptual and operational aspects of electrical grids characterized by an intensive penetration of DG, in the scope of competitive environments and using artificial intelligence methodologies to attain the envisaged goals. These concepts are implemented in a computational framework which includes both grid and market simulation.

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.

Modern cancer epidemiological research: genetic polymorphisms and environment

Individual cancer susceptibility seems to be related to factors such as changes in oncogenes and tumor suppressor genes expression, and differences in the action of metabolic enzymes and DNA repair regulated by specific genes. Epidemiological studies on genetic polymorphisms of human xenobiotics metabolizing enzymes and cancer have revealed low relative risks. Research considering genetic polymorphisms prevalence jointly with environmental exposures could be relevant for a better understanding of cancer etiology and the mechanisms of carcinogenesis and also for new insights on cancer prognosis. This study reviews the approaches of molecular epidemiology in cancer research, stressing case-control and cohort designs involving genetic polymorphisms, and factors that could introduce bias and confounding in these studies. Similarly to classical epidemiological research, genetic polymorphisms requires considering aspects of precision and accuracy in the study design.

Ambiente familiar e desenvolvimento cognitivo infantil: uma abordagem epidemiológica

OBJETIVO: Analisar a associação entre a qualidade do estímulo doméstico e o desempenho cognitivo infantil, identificando o impacto da escolaridade materna sobre a qualidade dessa estimulação. MÉTODOS: Estudo de corte transversal, com 350 crianças entre 17 e 42 meses, examinadas em 1999, em áreas centrais e periféricas de Salvador, Estado da Bahia. Utilizou-se um questionário socioeconômico, o inventário Home Observation for Measurement of the Environment Scale (HOME) para mensurar a estimulação no ambiente familiar, e a escala Bayley de desenvolvimento infantil. Foram realizadas análises univariadas e múltiplas, por meio da regressão linear, considerando nível de significância de 5%. RESULTADOS: Encontrou-se associação positiva (beta=0,66) e estatisticamente significante entre a qualidade da estimulação no ambiente doméstico e o desempenho cognitivo infantil. Parte do efeito da estimulação sobre a cognição foi mediada pela condição materna de trabalho e seu nível de escolaridade. Verificou-se que as crianças ocupando as primeiras ordens de nascimento, convivendo com reduzido número de menores de cinco anos, usufruem de melhor qualidade da estimulação no ambiente doméstico. Esse padrão de estimulação se mantém entre crianças convivendo com seus pais, cujas mães possuem melhor escolaridade, trabalham fora e convivem com companheiros no ambiente familiar. CONCLUSÕES: Confirma-se a importância da qualidade do estímulo doméstico para o desenvolvimento cognitivo infantil, além do relevante papel das condições materiais e dinâmica familiar. Os achados apontam a pertinência de ações de intervenção que favoreçam a qualidade do ambiente e da relação cuidador-criança para o desenvolvimento cognitivo.

Os peregrinos da cidade são: representações sociais de “sem-abrigo” emanadas pela sociedade civil lisboeta

Tomando por noção de espaço público o ambiente ou o território da vida social, que medeia entre a esfera privada e a autoridade pública, onde os cidadãos e as pessoas em geral podem encontrar-se livremente para tocarem ideias, conversarem, passearem, interagirem uns com os outros dentro dos limites impostos pela civilidade pública. E por ‘sem abrigo’ a situação generalizada de vivências que têm em comum o impedimento colectivo ou subjectivo do acesso a uma habitação. Habitação entendida não tanto como casa de família mas como alojamento, encarado como residência ou organização sedentária do espaço. O texto que se apresenta aborda o tema da responsabilização, organização e ocupação do espaço público com base nas representações sociais emanadas pelos representantes de algumas das organizações da sociedade civil lisboeta, que orientam a sua acção para a problçemática daqueles que fazem do espaço público o seu ‘domicílio’.

Android as a cloud ticket validator

Trabalho Final de Mestrado para a obtenção do grau de Mestre em Engenharia Informática e de Computadores

Versão em português da Family Environment Scale: aplicação e validação

OBJETIVO: Traduzir a Escala do Ambiente Familiar (Family Environment Scale) para a língua portuguesa e aplicar o instrumento para sua validação. MÉTODOS: A tradução foi aplicada a membros de famílias brasileiras, visando avaliação da consistência interna e a concordância entre membros da mesma família. Foram selecionados 154 voluntários não sujeitos a qualquer intervenção para lidar com problemas familiares, residentes na cidade de São Paulo, em 2003. As pontuações médias nas dez subescalas do instrumento foram comparadas entre homens e mulheres e entre membros da mesma família. Avaliou-se a consistência interna pelo alfa de Cronbach. RESULTADOS: A pontuação máxima possível era nove em cada subescala (bom funcionamento familiar), exceto em relação a conflito e controle. Na maioria das subescalas, a pontuação média da amostra estudada esteve entre 5,1 e 7,6 (homens) e entre 5,4 e 7,7 (mulheres). Nas subescalas conflito e controle as médias variaram entre 1,8 e 4,6 (homens) e entre 1,6 e 4,6 (mulheres), sendo semelhantes às relatadas em estudos internacionais, exceto maior pontuação nas subescalas coesão e organização, e menor na subescala conflito. Não houve diferença estatisticamente significativa entre as pontuações atingidas por homens e mulheres. A confiabilidade da escala avaliada pelo alfa de Cronbach variou entre 0,61 e 0,78 para as dez subescalas. CONCLUSÕES: Fatores culturais podem ter influenciado os resultados obtidos em algumas subescalas. A versão em português da Escala do Ambiente Familiar apresentou razoável consistência interna que permite sua utilização para avaliar alterações no ambiente ou funcionamento familiar, e após intervenções terapêuticas.