A novel index for identification of weak nodes for reactive compensation to improve voltage stability

In this study, a new reactive power loss index (RPLI) is proposed for identification of weak buses in the system. This index is further used for determining the optimal locations for placement of reactive compensation devices in the power system for additional voltage support. The new index is computed from the reactive power support and loss allocation algorithm using Y-bus method for the system under intact condition and as well as critical/severe network contingencies cases. Fuzzy logic approach is used to select the important and critical/severe line contingencies from the contingency list. The inherent characteristics of the reactive power in system operation is properly addressed while determining the reactive power loss allocation to load buses. The proposed index is tested on sample 10-bus equivalent system and 72-bus practical equivalent system of Indian southern region power grid. The validation of the weak buses identification from the proposed index with that from other existing methods in the literature is carried out to demonstrate the effectiveness of the proposed index. Simulation results show that the identification of weak buses in the system from the new RPLI is completely non-iterative, thus requires minimal computational efforts as compared with other existing methods in the literature.

Agent based modeling of energy networks

Attempts to model any present or future power grid face a huge challenge because a power grid is a complex system, with feedback and multi-agent behaviors, integrated by generation, distribution, storage and consumption systems, using various control and automation computing systems to manage electricity flows. Our approach to modeling is to build upon an established model of the low voltage electricity network which is tested and proven, by extending it to a generalized energy model. But, in order to address the crucial issues of energy efficiency, additional processes like energy conversion and storage, and further energy carriers, such as gas, heat, etc., besides the traditional electrical one, must be considered. Therefore a more powerful model, provided with enhanced nodes or conversion points, able to deal with multidimensional flows, is being required. This article addresses the issue of modeling a local multi-carrier energy network. This problem can be considered as an extension of modeling a low voltage distribution network located at some urban or rural geographic area. But instead of using an external power flow analysis package to do the power flow calculations, as used in electric networks, in this work we integrate a multiagent algorithm to perform the task, in a concurrent way to the other simulation tasks, and not only for the electric fluid but also for a number of additional energy carriers. As the model is mainly focused in system operation, generation and load models are not developed.

Estrategias de arranque de biofiltros orgánicos para el tratamiento de corrientes gaseosas contaminadas con compuestos de azufre

[ES]El disulfuro de carbono (CS2) y el sulfuro de hidrógeno (H2S) son gases especialmente tóxicos presentes en una gran cantidad de emisiones gaseosas industriales, principalmente en la producción de fibras de rayón a partir de celulosa en el caso del CS2, y en la industria petroquímica en el caso del H2S. La legislación vigente en cuanto a las emisiones de estos compuestos se refiere hace que su tratamiento sea, en muchos casos, necesario. La biofiltración como tecnología para el tratamiento de corrientes gaseosas contaminadas se ha convertido en los últimos años en una alternativa a los tratamientos físico-químicos empleados hasta la fecha. Sin embargo, uno de los principales obstáculos a la hora de la implantación de este tratamiento biológico a escala industrial es la duración del periodo de aclimatación de la biomasa encargada de degradar los contaminantes, que en función del compuesto a tratar puede resultar demasiado largo para la aplicación comercial de esta tecnología. El presente trabajo se centra en el estudio de estos periodos de arranque y aclimatación, especialmente lentos en el caso del CS2, y propone una estrategia de arranque basada en la reutilización de biomasa capaz de degradar los compuestos de interés, almacenada tras usos anteriores, que permite reducir el tiempo necesario para alcanzar eficacias de eliminación elevadas. Paralelamente, se ha concluido que paradas de corta duración no afectan de manera importante a la operación del sistema.

Design strategies for ultra-high efficiency photovoltaics

While concentrator photovoltaic cells have shown significant improvements in efficiency in the past ten years, once these cells are integrated into concentrating optics, connected to a power conditioning system and deployed in the field, the overall module efficiency drops to only 34 to 36%. This efficiency is impressive compared to conventional flat plate modules, but it is far short of the theoretical limits for solar energy conversion. Designing a system capable of achieving ultra high efficiency of 50% or greater cannot be achieved by refinement and iteration of current design approaches.

This thesis takes a systems approach to designing a photovoltaic system capable of 50% efficient performance using conventional diode-based solar cells. The effort began with an exploration of the limiting efficiency of spectrum splitting ensembles with 2 to 20 sub cells in different electrical configurations. Incorporating realistic non-ideal performance with the computationally simple detailed balance approach resulted in practical limits that are useful to identify specific cell performance requirements. This effort quantified the relative benefit of additional cells and concentration for system efficiency, which will help in designing practical optical systems.

Efforts to improve the quality of the solar cells themselves focused on the development of tunable lattice constant epitaxial templates. Initially intended to enable lattice matched multijunction solar cells, these templates would enable increased flexibility in band gap selection for spectrum splitting ensembles and enhanced radiative quality relative to metamorphic growth. The III-V material family is commonly used for multijunction solar cells both for its high radiative quality and for the ease of integrating multiple band gaps into one monolithic growth. The band gap flexibility is limited by the lattice constant of available growth templates. The virtual substrate consists of a thin III-V film with the desired lattice constant. The film is grown strained on an available wafer substrate, but the thickness is below the dislocation nucleation threshold. By removing the film from the growth substrate, allowing the strain to relax elastically, and bonding it to a supportive handle, a template with the desired lattice constant is formed. Experimental efforts towards this structure and initial proof of concept are presented.

Cells with high radiative quality present the opportunity to recover a large amount of their radiative losses if they are incorporated in an ensemble that couples emission from one cell to another. This effect is well known, but has been explored previously in the context of sub cells that independently operate at their maximum power point. This analysis explicitly accounts for the system interaction and identifies ways to enhance overall performance by operating some cells in an ensemble at voltages that reduce the power converted in the individual cell. Series connected multijunctions, which by their nature facilitate strong optical coupling between sub-cells, are reoptimized with substantial performance benefit.

Photovoltaic efficiency is usually measured relative to a standard incident spectrum to allow comparison between systems. Deployed in the field systems may differ in energy production due to sensitivity to changes in the spectrum. The series connection constraint in particular causes system efficiency to decrease as the incident spectrum deviates from the standard spectral composition. This thesis performs a case study comparing performance of systems over a year at a particular location to identify the energy production penalty caused by series connection relative to independent electrical connection.

Distributed Control and Optimization for Communication and Power Systems

We are at the cusp of a historic transformation of both communication system and electricity system. This creates challenges as well as opportunities for the study of networked systems. Problems of these systems typically involve a huge number of end points that require intelligent coordination in a distributed manner. In this thesis, we develop models, theories, and scalable distributed optimization and control algorithms to overcome these challenges.

This thesis focuses on two specific areas: multi-path TCP (Transmission Control Protocol) and electricity distribution system operation and control. Multi-path TCP (MP-TCP) is a TCP extension that allows a single data stream to be split across multiple paths. MP-TCP has the potential to greatly improve reliability as well as efficiency of communication devices. We propose a fluid model for a large class of MP-TCP algorithms and identify design criteria that guarantee the existence, uniqueness, and stability of system equilibrium. We clarify how algorithm parameters impact TCP-friendliness, responsiveness, and window oscillation and demonstrate an inevitable tradeoff among these properties. We discuss the implications of these properties on the behavior of existing algorithms and motivate a new algorithm Balia (balanced linked adaptation) which generalizes existing algorithms and strikes a good balance among TCP-friendliness, responsiveness, and window oscillation. We have implemented Balia in the Linux kernel. We use our prototype to compare the new proposed algorithm Balia with existing MP-TCP algorithms.

Our second focus is on designing computationally efficient algorithms for electricity distribution system operation and control. First, we develop efficient algorithms for feeder reconfiguration in distribution networks. The feeder reconfiguration problem chooses the on/off status of the switches in a distribution network in order to minimize a certain cost such as power loss. It is a mixed integer nonlinear program and hence hard to solve. We propose a heuristic algorithm that is based on the recently developed convex relaxation of the optimal power flow problem. The algorithm is efficient and can successfully computes an optimal configuration on all networks that we have tested. Moreover we prove that the algorithm solves the feeder reconfiguration problem optimally under certain conditions. We also propose a more efficient algorithm and it incurs a loss in optimality of less than 3% on the test networks.

Second, we develop efficient distributed algorithms that solve the optimal power flow (OPF) problem on distribution networks. The OPF problem determines a network operating point that minimizes a certain objective such as generation cost or power loss. Traditionally OPF is solved in a centralized manner. With increasing penetration of volatile renewable energy resources in distribution systems, we need faster and distributed solutions for real-time feedback control. This is difficult because power flow equations are nonlinear and kirchhoff's law is global. We propose solutions for both balanced and unbalanced radial distribution networks. They exploit recent results that suggest solving for a globally optimal solution of OPF over a radial network through a second-order cone program (SOCP) or semi-definite program (SDP) relaxation. Our distributed algorithms are based on the alternating direction method of multiplier (ADMM), but unlike standard ADMM-based distributed OPF algorithms that require solving optimization subproblems using iterative methods, the proposed solutions exploit the problem structure that greatly reduce the computation time. Specifically, for balanced networks, our decomposition allows us to derive closed form solutions for these subproblems and it speeds up the convergence by 1000x times in simulations. For unbalanced networks, the subproblems reduce to either closed form solutions or eigenvalue problems whose size remains constant as the network scales up and computation time is reduced by 100x compared with iterative methods.

A influência das políticas de saúde nos indicadores gerados pelo sistema de informações hospitalares do SUS

O uso das informações e indicadores provenientes do Sistema de Informações Hospitalares do SUS (SIH/SUS), tanto para análise de situação de saúde da população como para análise do desse, SUS, é cada vez mais frequente. Tal sistema é, desde sua concepção, fortemente influenciado pelas políticas públicas na área de atenção à saúde, como as definidas pelas Normas Operacionais e os incentivos e restrições a determinadas práticas. Alterações na operação do sistema introduzem descontinuidades e vieses nas informações, provocando eventuais imprecisões ou mesmo distorções nos resultados da extração de dados do sistema. Para que se possa avaliar o resultados de políticas, a situação da assistência à saúde ou as condições de saúde de uma população, é necessário, portanto, que se tenha uma visão clara e objetiva de quais informações são disponíveis, a sua evolução e como utiliza-las, considerando devidamente as influências exógenas e endógenas do sistema. O presente estudo está estruturado de acordo com o contexto do Sistema de Informações Hospitalares. Como componente da Previdência Social, é estudada a criação do Sistema de Assistência médico-Hospitalar da Previdência Social (SAMHPS), as suas origens e seus eixos estruturantes, assim como a sua expansão para a rede filantrópica e de ensino, com a ampliação de sua cobertura. Já no contexto do Sistema Único de Saúde (SUS), é estudada a incorporação do SAMHPS ao SUS, levando à criação do SIH/SUS, com a expansão para a rede pública e a sua universalização. A influência das políticas de saúde é analisada a partir da implantação de incentivos e restrições que afetam a assistência hospitalar e seu reflexo nas informações do SIH/SUS. A forma de categorização e a identificação dos prestadores são também examinadas, tendo em vista a sua importância na análise e determinação de políticas de saúde. Outro aspecto que é analisado é a forma de apropriação das informações do diagnóstico que levou à internação: a adoção da 10 Revisão da Classificação Internacional de Doenças, o caso específico das causas externas e a implantação da Tabela de Compatibilidade entre Procedimentos e Diagnósticos. Para identificar as mudanças políticas e operacionais do SUS, da regulamentação da assistência hospitalar e do SIH/SUS, foi pesquisada sua legislação Leis, Decretos, Normas Operacionais, Portarias, Instruções e Manuais. O relacionamento entre as informações e as políticas é analisado identificando a implantação destas políticas e verificando o efeito sobre os indicadores da assistência hospitalar obtidos do SIH/SUS. Como conclusão, foi visto que análises que utilizem as séries históricas devem, obrigatoriamente, levar em consideração as modificações, tanto do SUS como do SIH/SUS, para que possam chegar a conclusões mais precisas. Descontinuidades nas séries históricas efetivamente mostram modificações das políticas e da operação do sistema. A facilidade de acesso, a disponibilidade, a oportunidade e rapidez de atualização das informações do SIH/SUS são fatores positivos do sistema; é possível analisar o efeito de determinada ação pouco após a sua implantação. A análise das informações do diagnóstico denota a necessidade de treinamento dos codificadores no uso da CID-10 em morbidade e de uma ampla revisão da Tabela de Compatibilidade entre Diagnóstico Principal e o Procedimento Realizado.

Neutralização compensatória de carbono: estudo de caso em uma indústria do setor metal-mecânico.

Estudos têm mostrado que a intensificação do efeito estufa nos últimos anos vem ocasionando um aumento do aquecimento global com reflexos no clima que, por conseguinte, podem comprometer a vida no planeta. Tal intensificação se dá em função do acréscimo na concentração dos gases de efeito estufa proveniente de atividades antrópicas. Esta pesquisa visa quantificar a contribuição das emissões de gases do efeito estufa, lançados por uma empresa do setor metal-mecânico, situada no município do Rio de Janeiro RJ, além de propor cenários nos quais tais emissões podem ser compensadas. A quantificação foi concretizada através da utilização de metodologia elaborada pelo IPCC. A proposta de compensação das emissões se deu através da substituição de combustíveis utilizados em veículos, implantação de produção de energia por sistema fotovoltaico, biodigestão de efluentes domésticos e reflorestamento. A justificativa da pesquisa baseia-se na contribuição para a mitigação da intensificação do efeito estufa, do aquecimento global e das mudanças climáticas, o que conseqüentemente pode colaborar para a conservação da vida na Terra. Do total de emissões lançadas na atmosfera pela empresa em estudo, no ano de 2008, foi obtido um valor de 422 toneladas de CO2 equivalente, sendo 177 toneladas pelo consumo de combustíveis dos meios de transporte, 87 toneladas pelos resíduos gerados, 2,2 toneladas pelos efluentes gerados, 8,81 toneladas por consumo de energia elétrica e 148 toneladas por processos industriais internos. No cenário onde se contempla as medidas mitigadoras, tais emissões são reduzidas a 349 toneladas de CO2 equivalente. Caso seja empregado o reflorestamento como única forma de neutralização total de emissões da empresa em estudo, faz-se necessária a recuperação vegetal de uma área com 1,33 hectares de extensão. Esta alternativa pode se mostrar vantajosa em curto prazo por não acarretar maiores modificações na rotina dos processos industriais. No entanto, caso a Metal Master opte apenas pelo reflorestamento e mantenha o padrão de emissões semelhante ao ano de 2008, ao longo dos anos, será necessária uma vasta extensão de território reflorestado em relação aos valores pré-estabelecidos. Este fato denota a importância de modificações no ambiente industrial, de modo a permitir a neutralização em longo prazo.

A new technique for boosting efficiency of silicon solar cells

A new type of photovoltaic system with higher generation power density has been studied in detail. The feature of the system is a V-shaped module (VSM) with two tilted monocrystalline solar cells. Compared to solar cells in a flat orientation, the VSM enhances external quantum efficiency and leads to an increase of 31% in power conversion efficiency. Due to the VSM technique, short-circuit current density was raised from 24.94 to 33.7mA/cm(2), but both fill factor and open-circuit voltage were approximately unchanged. For the VSM similar results (about 30% increase) were obtained for solar cells fabricated by using mono-crystal line silicon wafers with only conventional background impurities. (c) 2004 Elsevier B.V. All rights reserved.

Sistemas fotovoltaicos este-oeste con capacidad de almacenamiento en la industria

El objetivo de este proyecto fin de carrera es ajustar el perfil generado por un sistema fotovoltaico con orientación este-oeste que dispone de una batería al perfil de demanda de distintas industrias en Alemania. Se ha puesto especial énfasis a los siguientes paquetes de trabajo: • Comparación de la eficiencia de un sistema fotovoltaico este-oeste frente a los resultados obtenidos con la típica orientación sur • Simulación de una instalación fotovoltaica este-oeste con una batería en una industria, basada en el software MATLAB / Simulink • Optimización económica. Los resultados obtenidos muestran que nunca es económico instalar un campo fotovoltaico este-oeste en vez de una instalación con orientación sur, en caso de que la única ventaja esperada sea el ensanche de la curva de generación de potencia.

ARTMAP: Supervised Real-Time Learning and Classification of Nonstationary Data by a Self-Organizing Neural Network

This article introduces a new neural network architecture, called ARTMAP, that autonomously learns to classify arbitrarily many, arbitrarily ordered vectors into recognition categories based on predictive success. This supervised learning system is built up from a pair of Adaptive Resonance Theory modules (ARTa and ARTb) that are capable of self-organizing stable recognition categories in response to arbitrary sequences of input patterns. During training trials, the ARTa module receives a stream {a^(p)} of input patterns, and ARTb receives a stream {b^(p)} of input patterns, where b^(p) is the correct prediction given a^(p). These ART modules are linked by an associative learning network and an internal controller that ensures autonomous system operation in real time. During test trials, the remaining patterns a^(p) are presented without b^(p), and their predictions at ARTb are compared with b^(p). Tested on a benchmark machine learning database in both on-line and off-line simulations, the ARTMAP system learns orders of magnitude more quickly, efficiently, and accurately than alternative algorithms, and achieves 100% accuracy after training on less than half the input patterns in the database. It achieves these properties by using an internal controller that conjointly maximizes predictive generalization and minimizes predictive error by linking predictive success to category size on a trial-by-trial basis, using only local operations. This computation increases the vigilance parameter ρa of ARTa by the minimal amount needed to correct a predictive error at ARTb· Parameter ρa calibrates the minimum confidence that ARTa must have in a category, or hypothesis, activated by an input a^(p) in order for ARTa to accept that category, rather than search for a better one through an automatically controlled process of hypothesis testing. Parameter ρa is compared with the degree of match between a^(p) and the top-down learned expectation, or prototype, that is read-out subsequent to activation of an ARTa category. Search occurs if the degree of match is less than ρa. ARTMAP is hereby a type of self-organizing expert system that calibrates the selectivity of its hypotheses based upon predictive success. As a result, rare but important events can be quickly and sharply distinguished even if they are similar to frequent events with different consequences. Between input trials ρa relaxes to a baseline vigilance pa When ρa is large, the system runs in a conservative mode, wherein predictions are made only if the system is confident of the outcome. Very few false-alarm errors then occur at any stage of learning, yet the system reaches asymptote with no loss of speed. Because ARTMAP learning is self stabilizing, it can continue learning one or more databases, without degrading its corpus of memories, until its full memory capacity is utilized.

Climate and energy scenarios for Ireland to 2050 using the Irish TIMES energy systems model

Due to growing concerns regarding the anthropogenic interference with the climate system, countries across the world are being challenged to develop effective strategies to mitigate climate change by reducing or preventing greenhouse gas (GHG) emissions. The European Union (EU) is committed to contribute to this challenge by setting a number of climate and energy targets for the years 2020, 2030 and 2050 and then agreeing effort sharing amongst Member States. This thesis focus on one Member State, Ireland, which faces specific challenges and is not on track to meet the targets agreed to date. Before this work commenced, there were no projections of energy demand or supply for Ireland beyond 2020. This thesis uses techno-economic energy modelling instruments to address this knowledge gap. It builds and compares robust, comprehensive policy scenarios, providing a means of assessing the implications of different future energy and emissions pathways for the Irish economy, Ireland’s energy mix and the environment. A central focus of this thesis is to explore the dynamics of the energy system moving towards a low carbon economy. This thesis develops an energy systems model (the Irish TIMES model) to assess the implications of a range of energy and climate policy targets and target years. The thesis also compares the results generated from the least cost scenarios with official projections and target pathways and provides useful metrics and indications to identify key drivers and to support both policy makers and stakeholder in identifying cost optimal strategies. The thesis also extends the functionality of energy system modelling by developing and applying new methodologies to provide additional insights with a focus on particular issues that emerge from the scenario analysis carried out. Firstly, the thesis develops a methodology for soft-linking an energy systems model (Irish TIMES) with a power systems model (PLEXOS) to improve the interpretation of the electricity sector results in the energy system model. The soft-linking enables higher temporal resolution and improved characterisation of power plants and power system operation Secondly, the thesis develops a methodology for the integration of agriculture and energy systems modelling to enable coherent economy wide climate mitigation scenario analysis. This provides a very useful starting point for considering the trade-offs between the energy system and agriculture in the context of a low carbon economy and for enabling analysis of land-use competition. Three specific time scale perspectives are examined in this thesis (2020, 2030, 2050), aligning with key policy target time horizons. The results indicate that Ireland’s short term mandatory emissions reduction target will not be achieved without a significant reassessment of renewable energy policy and that the current dominant policy focus on wind-generated electricity is misplaced. In the medium to long term, the results suggest that energy efficiency is the first cost effective measure to deliver emissions reduction; biomass and biofuels are likely to be the most significant fuel source for Ireland in the context of a low carbon future prompting the need for a detailed assessment of possible implications for sustainability and competition with the agri-food sectors; significant changes are required in infrastructure to deliver deep emissions reductions (to enable the electrification of heat and transport, to accommodate carbon capture and storage facilities (CCS) and for biofuels); competition between energy and agriculture for land-use will become a key issue. The purpose of this thesis is to increase the evidence-based underpinning energy and climate policy decisions in Ireland. The methodology is replicable in other Member States.

A novel approach to dynamic modelling of polymer extrusion for improved process control

Polymer extrusion is a complex process and the availability of good dynamic models is key for improved system operation. Previous modelling attempts have failed adequately to capture the non-linearities of the process or prove too complex for control applications. This work presents a novel approach to the problem by the modelling of extrusion viscosity and pressure, adopting a grey box modelling technique that combines mechanistic knowledge with empirical data using a genetic algorithm approach. The models are shown to outperform those of a much higher order generated by a conventional black box technique while providing insight into the underlying processes at work within the extruder.

Coordinated control of DFIG’s rotor and grid side converters during network unbalance

This paper proposes a coordinated control of the rotor and grid side converters (RSC & GSC) of doubly-fed induction generator (DFIG) based wind generation systems under unbalanced voltage conditions. System behaviors and operations of the RSC and GSC under unbalanced voltage are illustrated. To provide enhanced operation, the RSC is controlled to eliminate the torque oscillations at double supply frequency under unbalanced stator supply. The oscillation of the stator output active power is then cancelled by the active power output from the GSC, to ensure constant active power output from the overall DFIG generation system. To provide the required positive and negative sequence currents control for the RSC and GSC, a current control strategy containing a main controller and an auxiliary controller is analyzed. The main controller is implemented in the positive (dq)+ frame without involving positive/negative sequence decomposition whereas the auxiliary controller is implemented in the negative sequence (dq)? frame with negative sequence current extracted. Simulation results using EMTDC/PSCAD are presented for a 2MW DFIG wind generation system to validate the proposed control scheme and to show the enhanced system operation during unbalanced voltage supply.

A Novel Method to Enable Trade-offs Across the Whole Product Life of an Aircraft Using Value Driven Design

The increasing need to understand complex products and systems with long life spans, presents a significant challenge to designers who increasingly require a broader understanding of the operational aspects of the system. This demands an evolution in current design practice, as designers are often constrained to provide a subsystem solution without full knowledge of the global system operation. Recently there has been a push to consider value centric approaches which should facilitate better or more rapid convergence to design solutions with predictable completion schedules. Value Driven Design is one such approach, in which value is used as the system top level objective function. This provides a broader view of the system and enables all sub-systems and components to be designed with a view to the effect on project value. It also has the capacity to include value expressions for more qualitative aspects, such as environmental impact. However, application of the method to date has been restricted to comparing value in a programme where the lifespan is fixed and known a priori. This paper takes a novel view of value driven design through the surplus value objective function, and shows how it can be used to identify key sensitivities to guide designers in design trade-off decisions. By considering a new time based approach it can be used to identify optimum programme life-span and hence allow trade-offs over the whole product life.

When care is left to roam: Carers' experiences of grassroots nonprofit services in Ireland

Increasingly countries are turning to nonprofit organisations to provide health and social care, particularly for people with disabilities. Alongside this change, debates continue about how states should manage the relationship with such organisations. Should features of the old-style "welfare" model be retained? Should aspects of the "new public management" model be chosen to measure the impact of the work? Yet others argue that grassroots organisations should form the basis of a service provision system. In the context of these debates, Ireland serves as an interesting case study of the system of care that can emerge when the state operates a "relaxed control" approach. This paper takes the perspectives of users themselves: family carers who are accessing services for a disabled adult child, to examine the effects of this approach on the ground. We show how geography played a central role in shaping these experiences, and discuss how we can learn from the Irish context. Rather than arguing for narrowly defined contractual measures, we conclude by proposing a renewed focus on relationship building with the aim of effective system operation, in the future of care services. © 2010 Elsevier Ltd.