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.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

Adaptive tool for automatic data collection of real electricity markets

The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market’s evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.

Real-time energy resources scheduling considering short-term and very short-term wind forecast

This paper proposes an energy resources management methodology based on three distinct time horizons: day-ahead scheduling, hour-ahead scheduling, and real-time scheduling. In each scheduling process it is necessary the update of generation and consumption operation and of the storage and electric vehicles storage status. Besides the new operation condition, it is important more accurate forecast values of wind generation and of consumption using results of in short-term and very short-term methods. A case study considering a distribution network with intensive use of distributed generation and electric vehicles is presented.

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.

Modelling real solar cell using PSCAD/MATLAB

This paper presents the development of a solar photovoltaic (PV) model based on PSCAD/EMTDC - Power System Computer Aided Design – including a mathematical model study. An additional algorithm has been implemented in MATLAB software in order to calculate several parameters required by the PSCAD developed model. All the simulation study has been performed in PSCAD/MATLAB software simulation tool. A real data base concerning irradiance, cell temperature and PV power generation was used in order to support the evaluation of the implemented PV model.

De intruso a tutor: impactos da formação em contexto PNEP

Este trabalho decorre de uma experiência de formação contínua de âmbito nacional, durante um ano letivo, relacionada com o ensino do português no 1º Ciclo no contexto do Programa Nacional de Ensino do Português (PNEP). Para se compreender o impacto da formação e do seu modelo, analisaram-se as produções escritas (do género narrativo e epistolar) dos alunos do 1º ao 4º ano de escolaridade, os resultados das Provas de Aferição de Língua Portuguesa do 4º ano, os inquéritos de avaliação dos formandos à própria formação, da competência da Comissão Nacional de Acompanhamento (CNA) e, ainda, as reflexões dos portefólios produzidos pelos formandos ao longo da formação. Em génese, pretende-se aferir de que modo esta formação interferiu nas aprendizagens e no desenvolvimento de competências dos alunos no domínio da língua materna, nomeadamente ao nível da escrita. Nessa perspetiva, são comparados dois grupos de alunos do mesmo agrupamento, do distrito de Lisboa, sendo o grupo experimental constituído pelos alunos cujos professores frequentaram a ação de formação PNEP e o grupo de controlo formado por alunos cujos professores nunca frequentaram a referida ação. Todavia, podendo o PNEP ser considerado como uma formação inovadora, porque se desenvolve em contexto, procura-se também saber como se sentiram os professores ao longo desta formação, bem como que repercussões e mais-valias obtiveram para as suas práticas pedagógicas e para a resolução real dos problemas vividos na sala de aula. Por fim, cruzando todos os dados de que se dispõe, aspira-se compreender o papel e o contributo da figura do formador no contexto PNEP, o que poderá conduzir a uma nova abordagem de formação, mais consentânea com o conceito de “mentoria”, e seus processos, do que com os pressupostos iniciais assentes numa lógica de “tutoria”. - This study originates from a one year education experience, nation wide, in the wake of the PNEP (Programa Nacional de Ensino do Português, in its maiden form) program. The aim is to understand how the model herein impacts first to fourth year primary school children’s learning and writing skills, how it influences the fourth year’s final exam results, and how it is reflected on practitioners’ (teachers undergoing the PNEP) performance evaluation inquires, and on concept development within their portfolios. In genesis, we seek to analyse whether the PNEP changed the way children attending primary school learn and master Portuguese, particularly its written expression. To do so, the study focus on two different publics, whereby an experimental group was build around a set of classes whose teachers had completed the PNEP education and training program, and a control group, set around a similar sample, but where teachers had no PNEP education or training at all. In addition, because PNEP might be considered as an advanced education model, we also wanted to disclosure how it adds to schoolteachers’ education techniques, and how it would help them solve daily ordinary problems within the classroom. Last but not the least, the study reveals that PNEP can change Portuguese standard education perspectives, changing classic tutorial methodologies towards a, more responsive, mentoring approach.

Optimization model for medium term natural gas commitment

In this paper we study the optimal natural gas commitment for a known demand scenario. This study implies the best location of GSUs to supply all demands and the optimal allocation from sources to gas loads, through an appropriate transportation mode, in order to minimize total system costs. Our emphasis is on the formulation and use of a suitable optimization model, reflecting real-world operations and the constraints of natural gas systems. The mathematical model is based on a Lagrangean heuristic, using the Lagrangean relaxation, an efficient approach to solve the problem. Computational results are presented for Iberian and American natural gas systems, geographically organized in 65 and 88 load nodes, respectively. The location model results, supported by the computational application GasView, show the optimal location and allocation solution, system total costs and suggest a suitable gas transportation mode, presented in both numerical and graphic supports.

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 in electrical energy supply: an optimal real time pricing approach

In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.

Introduction to the special issue on real world applications of intelligent tutoring systems

The idea behind creating this special issue on real world applications of intelligent tutoring systems was to bring together in a single publication some of the most important examples of success in the use of ITS technology. This will serve as a reference to all researchers working in the area. It will also be an important resource for the industry, showing the maturity of ITS technology and creating an atmosphere for funding new ITS projects. Simultaneously, it will be valuable to academic groups, motivating students for new ideas of ITS and promoting new academic research work in the area.

Remoção hierárquica de geometria por oclusão em simulações em tempo real

Mestrado em Engenharia Electrotécnica e de Computadores

Efeitos tridimensionais no escoamento em torno de cilindros confinados

Mestrado em Engenharia Química

Real-time rheology of actively growing bacteria

The population growth of a Staphylococcus aureus culture, an active colloidal system of spherical cells, was followed by rheological measurements, under steady-state and oscillatory shear flows. We observed a rich viscoelastic behavior as a consequence of the bacteria activity, namely, of their multiplication and density-dependent aggregation properties. In the early stages of growth (lag and exponential phases), the viscosity increases by about a factor of 20, presenting several drops and full recoveries. This allows us to evoke the existence of a percolation phenomenon. Remarkably, as the bacteria reach their late phase of development, in which the population stabilizes, the viscosity returns close to its initial value. Most probably, this is caused by a change in the bacteria physiological activity and in particular, by the decrease of their adhesion properties. The viscous and elastic moduli exhibit power-law behaviors compatible with the "soft glassy materials" model, whose exponents are dependent on the bacteria growth stage. DOI: 10.1103/PhysRevE.87.030701.

Adequações curriculares: perspetivas e práticas de planeamento e intervenção

Com este artigo pretende-se sistematizar e discutir os resultados e conclusões de alguns estudos sobre adequações curriculares para dar resposta às necessidades educativas especiais, realizados no âmbito do mestrado em educação especial na Escola Superior de Educação de Lisboa. Após um breve enquadramento teórico, apresentam-se resultados e conclusões sobre as perspetivas de professores de diferentes ciclos de escolaridade em relação à gestão do currículo, às necessidades educativas especiais e à forma de definição das medidas educativas e curriculares a adotar. Confrontam-se depois estes resultados com as medidas efetivamente expressas nos documentos organizadores da intervenção com estes alunos e ainda com os resultados de observações realizadas em sala de aula. Conclui-se que um longo caminho já foi percorrido no que se refere a valores e princípios, mas que é necessário reforçar as componentes pedagógicas e didáticas do ensino destes alunos, de forma a que a inclusão não se reduza apenas a um processo de socialização e conduza a uma real aprendizagem.