A new MILP based approach for unit commitment in power production planning

This paper presents a complete, quadratic programming formulation of the standard thermal unit commitment problem in power generation planning, together with a novel iterative optimisation algorithm for its solution. The algorithm, based on a mixed-integer formulation of the problem, considers piecewise linear approximations of the quadratic fuel cost function that are dynamically updated in an iterative way, converging to the optimum; this avoids the requirement of resorting to quadratic programming, making the solution process much quicker. From extensive computational tests on a broad set of benchmark instances of this problem, the algorithm was found to be flexible and capable of easily incorporating different problem constraints. Indeed, it is able to tackle ramp constraints, which although very important in practice were rarely considered in previous publications. Most importantly, optimal solutions were obtained for several well-known benchmark instances, including instances of practical relevance, that are not yet known to have been solved to optimality. Computational experiments and their results showed that the method proposed is both simple and extremely effective.

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.

Optimization study of hybrid spot-welded/bonded single-lap joints

Joining of components with structural adhesives is currently one of the most widespread techniques for advanced structures (e.g., aerospace or aeronautical). Adhesive bonding does not involve drilling operations and it distributes the load over a larger area than mechanical joints. However, peak stresses tend to develop near the overlap edges because of differential straining of the adherends and load asymmetry. As a result, premature failures can be expected, especially for brittle adhesives. Moreover, bonded joints are very sensitive to the surface treatment of the material, service temperature, humidity and ageing. To surpass these limitations, the combination of adhesive bonding with spot-welding is a choice to be considered, adding a few advantages like superior static strength and stiffness, higher peeling and fatigue strength and easier fabrication, as fixtures during the adhesive curing are not needed. The experimental and numerical study presented here evaluates hybrid spot-welded/bonded single-lap joints in comparison with the purely spot-welded and bonded equivalents. A parametric study on the overlap length (LO) allowed achieving different strength advantages, up to 58% compared to spot-welded joints and 24% over bonded joints. The Finite Element Method (FEM) and Cohesive Zone Models (CZM) for damage growth were also tested in Abaqus® to evaluate this technique for strength prediction, showing accurate estimations for all kinds of joints.

Privatization and social welfare in an international mixed Stackelberg duopoly

Competition between public and private firms exists in a range of industries like telecommunications, electricity, natural gas, airlines industries, as weel as services including hospitals, banking and education. Some authors studied mixed oligopolies under Cournot competition (firms move simultaneously) and some others considered Stackelberg models (firms move sequentially). Tomaru [1] analyzed, in a Cournot model, how decision-making upon cost-reducing R&D investment by a domestic public firm is affected by privatization when competing in the domestic market with a foreign firm. He shows that privatization of the domestic public firm lowers productive efficiency and deteriorates domestic social welfare. In this paper, we examine the same question but in a Stackelberg formulation instead of Cournot. The model is a three-stage game. In the first stage, the domestic firm chooses the amount of cost-reducing R&D investment. Then, the firms compete à la Stackelberg. Two cases are considered: (i) The domestic firm is the leader; (ii) The foreign firm is the leader. We show that the results obtained in [1] for Cournot competition are robust in the sence that they are also true when firms move sequentially.

Characterization of an antioxidant surfactant-free topical formulation containing Castanea sativa leaf extract

Context: Inclusion of antioxidants in topical formulations can contribute to minimize oxidative stress in the skin, which has been associated with photoaging, several dermatosis and cancer. Objective: A Castanea sativa leaf extract with established antioxidant activity was incorporated into a semisolid surfactant-free formulation. The objective of this study was to perform a comprehensive characterization of this formulation. Materials and methods: Physical, microbiological and functional stability were evaluated during 6 months storage at 20 °C and 40 °C. Microstructure elucidation (cryo-SEM), in vitro release and in vivo moisturizing effect (Corneometer® CM 825) were also assessed. Results and discussion: Minor changes were observed in the textural and rheological properties of the formulation when stored at 20 °C for 6 months and the antioxidant activity of the plant extract remained constant throughout the storage period. Microbiological quality was confirmed at the end of the study. Under accelerated conditions, higher modifications of the evaluated parameters were observed. Cryo-SEM analysis revealed the presence of oil droplets dispersed into a gelified external phase. The release rate of the antioxidant compounds (610 ± 70 µgh−0.5) followed Higuchi model. A significant in vivo moisturizing effect was demonstrated, that lasted at least 4 h after product’s application. Conclusion: The physical, functional and microbiological stability of the antioxidant formulation was established. Specific storage conditions should be recommended considering the influence of temperature on the stability. A skin hydration effect and good skin tolerance were also found which suggests that this preparation can be useful in the prevention or treatment of oxidative stress-mediated dysfunctions.

Impacto de um programa de relaxamento na percepção de stress nos cuidadores formais de um lar do concelho de Águeda

O papel de cuidador formal é, habitualmente, exercido por profissionais devidamente qualificados, designadamente, médicos, enfermeiros psicólogos, assistentes sociais, terapeutas ocupacionais, fisioterapeutas e auxiliares. A sua formação académica, profissional é específica para o desempenho deste papel, integrada no contexto de uma actividade profissional onde são exercidas competências, no âmbito da saúde. Nos lares, hospitais, instituições comunitárias, entre outros, existem indivíduos que se enquadram no perfil traçado, a actividade é desgastante, quer física, quer psicologicamente, o que muitas vezes facilita o aparecimento da ansiedade e a percepção do stress. O relaxamento enquanto técnica terapêutica poderá atenuar o seu surgimento. Este trabalho teve como objectivo avaliar o impacto de um programa de relaxamento, na percepção de stress, nos cuidadores formais do lar da Liga de Amigos de Aguada de Cima. Para este fim, consideramos adequado um estudo do tipo experimental. Assim aplicámos á nossa amostra, dezasseis funcionárias, antes e depois da aplicação do programa de relaxamento progressivo de Jacobson, questionários de auto-preenchimento, adaptados à população portuguesa. Para além disso, nas dezasseis sessões que efectuámos, medimos a tensão arterial e a frequência cardíaca com um esfigmomanómetro digital de pulso, no período antes e depois da implementação do programa. Pela análise dos resultados que obtivemos, constatámos que não houve diferenças significativas do ponto de vista estatístico, entre a ansiedade e a percepção do stress, após o programa de relaxamento Jacobson. Confirmámos porém, que existiram diferenças em alguns itens dos questionários após a implementação do programa de relaxamento, assim como uma diminuição da pressão arterial diastólica e da correlação positiva entre a ansiedade e a percepção de stress. Desta forma, parece existir uma indicação de que o programa de relaxamento progressivo de Jacobson talvez tenha contribuído para minimizar o nível de stress das funcionárias do lar da Liga de Amigos de Aguada de Cima

Avaliação do stress oxidativo na disfunção erétil

As sequelas fisiopatológicas do stress oxidativo são difíceis de quantificar. Apesar dos obstáculos, a relevância médica do stress oxidativo tem vindo a ser cada vez mais reconhecida, sendo hoje em dia encarado como um componente chave de virtualmente todas as doenças. A disfunção erétil (DE) surge neste contexto como uma espécie de barómetro da função endotelial e do dano oxidativo. A quantificação de biomarcadores de stress oxidativo poderá apresentar um enorme impacto na avaliação de pacientes com DE. O rácio glutationa reduzida/oxidada (GSH/GSSG) e a nitrotirosina (3-NT) têm vindo a demonstrar relevância clínica. A consideração de polimorfismos genéticos constitui ainda uma abordagem promissora na avaliação destas relações no futuro. Um método altamente sensível de cromatografia líquida de alta performance (HPLC) foi desenvolvido para a determinação de 3-NT em plasma humano. As concentrações de 3-NT medidos em indivíduos com DE foram 6,6±2,1μM (média±S.D., n = 46). A medição da concentração plasmática de 3-NT poderá revelar-se útil como marcador de dano oxidativo dependente do óxido nítrico (NO). O nível de stress oxidativo pode também ser quantificado através da medição do decréscimo do rácio GSH/GSSG, que tem mostrado alterações numa miríade de patologias, como a DE e a diabetes mellitus. O método proposto para a quantificação do rácio GSH/GSSG em HPLC apresenta a vantagem de avaliação concomitante dos dois parâmetros em apenas uma corrida. O valor do rácio GSH/GSSG obtido a partir de sangue de indivíduos com DE foi 11,9±9,8 (média±S.D., n = 49). Os resultados estatísticos revelaram diferenças significativas (p<0,001) entre ambos a concentração plasmática de 3-NT e o rácio GSH/GSSG de sangue de indivíduos com DE e as respetivas medições em indivíduos saudáveis. Observaram-se ainda diferenças estatisticamente significativas (p≈0,027) entre o rácio GSH/GSSG do sangue de pacientes apenas com diagnóstico de DE e a medição respetiva em indivíduos com DE e comorbilidades cardiovasculares. Estes resultados enfatizam o papel do dano oxidativo na biopatologia da DE, elucidado com o auxílio destas duas metodologias, que poderão ter um amplo campo de aplicação no futuro, dado que se mostraram simples, não dispendiosas e rápidas, podendo eventualmente adequar-se a estudos de rastreio em larga escala.

A hybrid intelligent system for distributed dynamic scheduling

This chapter addresses the resolution of dynamic scheduling by means of meta-heuristic and multi-agent systems. Scheduling is an important aspect of automation in manufacturing systems. Several contributions have been proposed, but the problem is far from being solved satisfactorily, especially if scheduling concerns real world applications. The proposed multi-agent scheduling system assumes the existence of several resource agents (which are decision-making entities based on meta-heuristics) distributed inside the manufacturing system that interact with other agents in order to obtain optimal or near-optimal global performances.

Scheduling maintenance activities of electric power transmission networks using an hybrid constraint method

In this paper we present a Constraint Logic Programming (CLP) based model, and hybrid solving method for the Scheduling of Maintenance Activities in the Power Transmission Network. The model distinguishes from others not only because of its completeness but also by the way it models and solves the Electric Constraints. Specifically we present a efficient filtering algorithm for the Electrical Constraints. Furthermore, the solving method improves the pure CLP methods efficiency by integrating a type of Local Search technique with CLP. To test the approach we compare the method results with another method using a 24 bus network, which considerers 42 tasks and 24 maintenance periods.

Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems

This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness and fuzziness of component outage parameters of transmission power system. The novelty of this research work consists in proposing two fundamentals approaches: 1) a global steady approach which deals with building the model of a faulted transmission power system aiming at minimizing the unavailability corresponding to each faulted component in transmission power system. This, results in the minimal global cost investment for the faulted components in a system states sample of the transmission network; 2) a dynamic iterative approach that checks individually the investment’s effect on the transmission network. A case study using the Reliability Test System (RTS) 1996 IEEE 24 Buses is presented to illustrate in detail the application of the proposed methodology.

An optimal scheduling problem in distribution networks considering V2G

This paper addresses the problem of energy resource scheduling. An aggregator will manage all distributed resources connected to its distribution network, including distributed generation based on renewable energy resources, demand response, storage systems, and electrical gridable vehicles. The use of gridable vehicles will have a significant impact on power systems management, especially in distribution networks. Therefore, the inclusion of vehicles in the optimal scheduling problem will be very important in future network management. The proposed particle swarm optimization approach is compared with a reference methodology based on mixed integer non-linear programming, implemented in GAMS, to evaluate the effectiveness of the proposed methodology. The paper includes a case study that consider a 32 bus distribution network with 66 distributed generators, 32 loads and 50 electric vehicles.

Multiagent system for adaptive strategy formulation in electricity markets

Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players’ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal.

Hybrid fuzzy Monte Carlo and logic programming model for distribution network reconfiguration in the presence of outages

This paper presents a methodology for distribution networks reconfiguration in outage presence in order to choose the reconfiguration that presents the lower power losses. The methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. Once obtained the system states by Monte Carlo simulation, a logical programming algorithm is applied to get all possible reconfigurations for every system state. In order to evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation a distribution power flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology to a practical case, the paper includes a case study that considers a real distribution network.

Ensino e aprendizagem da Bioquímica em Ciências da Saúde: retenção de conhecimentos adquiridos e sucesso académico versus tipo de exame preferido, sua preparação e stress associado

Num contexto de reestruturação da formação em Ciências da Saúde baseada em competências, torna-se necessário estudar as diferentes formas de avaliação e o stress que lhe está associado, observando de que forma estas poderão interferir no sucesso académico dos alunos e real aquisição de competências. O objectivo do trabalho foi avaliar estas questões no âmbito da Bioquímica de diferentes cursos de Tecnologias da Saúde. A metodologia foi adaptada de controlled pre-test-postest, e os resultados obtidos apontam para que os alunos que mais estudam, ao longo do ano e não no “sprint final”, parecem possuir menor stress e serem melhor sucedidos.

Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming

In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.