Two methods for voltage sag source location

This paper presents and compares two approaches to estimate the origin (upstream or downstream) of voltage sag registered in distribution substations. The first approach is based on the application of a single rule dealing with features extracted from the impedances during the fault whereas the second method exploit the variability of waveforms from an statistical point of view. Both approaches have been tested with voltage sags registered in distribution substations and advantages, drawbacks and comparative results are presented

Classification of sags according to their origin based on the waveform similarity

A statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is built on the basis of multi-way principal component analysis an later used to project the available registers in a new space with lower dimension. Thus, a case base of diagnosed sags is built in the projection space. Finally classification is done by comparing new sags against the existing in the case base. Similarity is defined in the projection space using a combination of distances to recover the nearest neighbours to the new sag. Finally the method assigns the origin of the new sag according to the origin of their neighbours

Descripción de la cultura organizacional en OSP International Cala Ltda.

Con la investigación realizada a OSP International Cala Ltda., empresa dedicada a la generación de valor agregado en operadores de servicios a través de sus redes de distribución mediante el desarrollo de hardware y software, se logró identificar la cultura organizacional que caracteriza a esta empresa, a través de la Metodología desarrollado por el Autor Carlos Eduardo Méndez, donde por medio de los cuatro instrumentos; encuestas de Hombre, Estructura, Sistema e IMCOC (instrumento para medir el clima de las organizaciones), se identificaron los rasgos menos arraigados, arraigados y altamente arraigados. Con los últimos se logró la caracterización de la cultura organizacional de la empresa, puesto que con estos se identificaron las Categorías de Análisis, Tendencias y Macrotendencias, para poder describir, interpretar y analizar la Cultura Organizacional que caracteriza a esta compañía (Alternativa Humanitaria). Concluyendo la evidencia del arduo trabajo que realiza diariamente OSP International Cala Ltda., en la integración de cada una de sus áreas como parte de un todo, para lograr los objetivos y metas propuestas por esta.

Proceso de negociación del tratado sobre el comercio de armas: tensiones y dinámicas de poder

El interés del presente estudio de caso es analizar la articulación de las dinámicas de poder y estrategias de negociación detrás de un proceso tan complejo como el de la creación del Tratado sobre el Comercio de Armas.El estudio examina la evolución de las tensiones principales entre los Estados participantes frente al Tratado y resalta las lógicas de poder al interior de las negociaciónes, así como los factores externos que influyeron para solucionar o agravar dichas tensiones. Con el apoyo de diferentes conceptos teóricos de negociación, se observa en específico el rol de las coaliciones como una importante estrategia utilizada por Estados pequeños para contrarrestar de alguna forma la asimetría de poder en un escenario donde los grandes exportadores e importadores de armas en la negociación tienen mayor peso.

Predictors of knowledge creation performance. A quantitative qualitative comparative study of European doctorandi

Aquesta tesi forma part d'un projecte destinat a predir el rendiment acadèmic dels estudiants de doctorat portat a terme per l'INSOC (International Network on Social Capital and Performance). El grup de recerca INSOC està format per les universitats de Girona (Espanya), Ljubljana (Eslovènia), Giessen (Alemanya) i Ghent (Bèlgica). El primer objectiu d'aquesta tesi és desenvolupar anàlisis quantitatius comparatius sobre el rendiment acadèmic dels estudiants de doctorat entre Espanya, Eslovènia i Alemanya a partir dels resultats individuals del rendiment acadèmic obtinguts de cada una de les universitats. La naturalesa internacional del grup de recerca implica la recerca comparativa. Vam utilitzar variables personal, actitudinals i de xarxa per predir el rendiment. El segon objectiu d'aquesta tesi és entendre de manera qualitativa perquè les variables de xarxa no ajuden quantitativament a predir el rendiment a la universitat de Girona (Espanya). En el capítol 1, definim conceptes relacionats amb el rendiment i donam un llistat de cada una de les variables independents (variables de xarxa, personals i actitudinals), resumint la lliteratura. Finalment, explicam com s'organitzen els estudis de doctorat a cada un dels diferents països. A partir d'aquestes definicions teòriques, en els pròxims capítols, primer presentarem els qüestionaris utilitzats a Espanya, Eslovènia i Alemanya per mesurar aquests diferents tipus de variables. Després, compararem les variables que són relevants per predir el rendiment dels estudiants de doctorat a cada país. Després d'això, fixarem diferents models de regressió per predir el rendiment entre països. En tots aquests models les variables de xarxa fallen a predir el rendiment a la Universitat de Girona. Finalment, utilitzem estudis qualitatius per entendre aquests resultats inesperats. En el capítol 2, expliquem com hem dissenyat i conduït els qüestionaris en els diferents països amb l'objectiu d'explicar el rendiment dels estudiants de doctorat obtinguts a Espanya, Eslovènia i Alemanya. En el capítol 3, cream indicadors comparables però apareixen problemes de comparabilitat en preguntes particulars a Espanya, Eslovènia i Alemanya. En aquest capítol expliquem com utilitzem les variables dels tres països per crear indicadors comparables. Aquest pas és molt important perquè el principal objectiu del grup de recerca INSOC és comparar el rendiment dels estudiants de doctorat entre els diferents països. En el capítol 4 comparem models de regressió obtinguts de predir el rendiment dels estudiants de doctorat a les universitats de Girona (Espanya) i Eslovènia. Les variables són característiques dels grups de recerca dels estudiants de doctorat enteses com una xarxa social egocèntrica, característiques personals i actitudinals dels estudiants de doctorat i algunes carecterístiques dels directors. Vam trobar que les variables de xarxa egocèntriques no predien el rendiment a la Universitat de Girona. En el capítol 5, comparem dades eslovenes, espanyoles i alemnayes, seguint la metodologia del capítol 4. Concluïm que el cas alemany és molt diferent. El poder predictiu de les variables de xarxa no millora. En el capítol 6 el grup de recerca dels estudiants de doctorat és entès com una xarxa duocèntrica (Coromina et al., 2008), amb l'objectiu d'obtendre informació de la relació mútua entre els estudiants i els seus directors i els contactes d'ambdós amb els altres de la xarxa. La inclusió de la xarxa duocèntrica no millora el poder predictiu del model de regressió utilitzant les variales egocèntriques de xarxa. El capítol 7 pretèn entendre perquè les variables de xarxa no predeixen el rendiment a la Universitat de Girona. Utilitzem el mètode mixte, esperant que l'estudi qualitatiu pugui cobrir les raons de perquè la qualitat de la xarxa falla en la qualitat del treball dels estudiants. Per recollir dades per l'estudi qualitatiu utilitzem entrevistes en profunditat.

A new error measure for forecasts of household-level, high resolution electrical energy consumption

As low carbon technologies become more pervasive, distribution network operators are looking to support the expected changes in the demands on the low voltage networks through the smarter control of storage devices. Accurate forecasts of demand at the single household-level, or of small aggregations of households, can improve the peak demand reduction brought about through such devices by helping to plan the appropriate charging and discharging cycles. However, before such methods can be developed, validation measures are required which can assess the accuracy and usefulness of forecasts of volatile and noisy household-level demand. In this paper we introduce a new forecast verification error measure that reduces the so called “double penalty” effect, incurred by forecasts whose features are displaced in space or time, compared to traditional point-wise metrics, such as Mean Absolute Error and p-norms in general. The measure that we propose is based on finding a restricted permutation of the original forecast that minimises the point wise error, according to a given metric. We illustrate the advantages of our error measure using half-hourly domestic household electrical energy usage data recorded by smart meters and discuss the effect of the permutation restriction.

Financial implications for companies running standby generators in support of a smart grid

Integrating renewable energy into built environments requires additional attention to the balancing of supply and demand due to their intermittent nature. Demand Side Response (DSR) has the potential to make money for organisations as well as support the System Operator as the generation mix changes. There is an opportunity to increase the use of existing technologies in order to manage demand. Company-owned standby generators are a rarely used resource; their maintenance schedule often accounts for a majority of their running hours. DSR encompasses a range of technologies and organisations; Sustainability First (2012) suggest that the System Operator (SO), energy supply companies, Distribution Network Operators (DNOs), Aggregators and Customers all stand to benefit from DSR. It is therefore important to consider impact of DSR measures to each of these stakeholders. This paper assesses the financial implications of organisations using existing standby generation equipment for DSR in order to avoid peak electricity charges. It concludes that under the current GB electricity pricing structure, there are several regions where running diesel generators at peak times is financially beneficial to organisations. Issues such as fuel costs, Carbon Reduction Commitment (CRC) charges, maintenance costs and electricity prices are discussed.

Privatisation and cross-border electricity trade: from internal market to European Supergrid?

he perspective European Supergrid would consist of an integrated power system network, where electricity demands from one country could be met by generation from another country. This paper makes use of a bi-linear fixed-effects model to analyse the determinants for trading electricity across borders among 34 countries connected by the European Supergrid. The key question that this paper aims to address is the extent to which the privatisation of European electricity markets has brought about higher cross-border trade of electricity. The analysis makes use of distance, price ratios, gate closure times, size of peaks and aggregate demand as standard determinants. Controlling for other standard determinants, it is concluded that privatisation in most cases led to higher power exchange and that the benefits are more significant where privatisation measures have been in place for a longer period.

Energy-efficient resource allocation in OFDM systems with distributed antennas

In this paper, we develop an energy-efficient resource-allocation scheme with proportional fairness for downlink multiuser orthogonal frequency-division multiplexing (OFDM) systems with distributed antennas. Our aim is to maximize energy efficiency (EE) under the constraints of the overall transmit power of each remote access unit (RAU), proportional fairness data rates, and bit error rates (BERs). Because of the nonconvex nature of the optimization problem, obtaining the optimal solution is extremely computationally complex. Therefore, we develop a low-complexity suboptimal algorithm, which separates subcarrier allocation and power allocation. For the low-complexity algorithm, we first allocate subcarriers by assuming equal power distribution. Then, by exploiting the properties of fractional programming, we transform the nonconvex optimization problem in fractional form into an equivalent optimization problem in subtractive form, which includes a tractable solution. Next, an optimal energy-efficient power-allocation algorithm is developed to maximize EE while maintaining proportional fairness. Through computer simulation, we demonstrate the effectiveness of the proposed low-complexity algorithm and illustrate the fundamental trade off between energy and spectral-efficient transmission designs.

An evaluation of the theoretical potential and practical opportunity for using greywater for domestic purposes in Ghana

Assessments concerning the effects of climate change, water resource availability and water deprivation in West Africa have not frequently considered the positive contribution to be derived from collecting and reusing water for domestic purposes. Where the originating water is taken from a clean water source and has been used the first time for washing or bathing, this water is commonly called “greywater”. Greywater is a prolific resource that is generated wherever people live. Treated greywater can be used for domestic cleaning, for flushing toilets where appropriate, for washing cars, sometimes for watering kitchen gardens, and for clothes washing prior to rinsing. Therefore, a large theoretical potential exists to increase total water resource availability if greywater were to be widely reused. Locally treated greywater reduces the distribution network requirement, lower construction effort and cost and, wherever possible, minimising the associated carbon footprint. Such locally treated greywater offers significant practical opportunities for increasing the total available water resources at a local level. The reuse of treated greywater is one important action that will help to mitigate the reducing availability of clean water supplies in some areas, and the expected mitigation required in future aligns well with WHO/UNICEF (2012) aspirations. The evaluation of potential opportunities for prioritising greywater systems to support water reuse takes into account the availability of water resources, water use indicators and published estimates in order to understand typical patterns of water demand. The approach supports knowledge acquisition regarding local conditions for enabling capacity building for greywater reuse, the understanding of systems that are most likely to encourage greywater reuse, and practices and future actions to stimulate greywater infrastructure planning, design and implementation. Although reuse might be considered to increase the uncertainty of achieving a specified quality of the water supply, robust methods and technologies are available for local treatment. Resource strategies for greywater reuse have the potential to consistently improve water efficiency and availability in water impoverished and water stressed regions of Ghana and West Africa. Untreated greywater is referred to as “greywater”; treated greywater is referred to as “treated greywater” in this paper.

Properties and Inference on the Skew-Curved-Symmetric Family of Distributions

In this article, we study some results related to a specific class of distributions, called skew-curved-symmetric family of distributions that depends on a parameter controlling the skewness and kurtosis at the same time. Special elements of this family which are studied include symmetric and well-known asymmetric distributions. General results are given for the score function and the observed information matrix. It is shown that the observed information matrix is always singular for some special cases. We illustrate the flexibility of this class of distributions with an application to a real dataset on characteristics of Australian athletes.

Evaluation of a high temperature solar thermal seasonal borehole storage

A solar thermal system with seasonal borehole storage for heating of a residential area in Anneberg, Sweden, approximately 10 km north of Stockholm, has been in operation since late 2002. Originally, the project was part of the EU THERMIE project “Large-scale Solar Heating Systems for Housing Developments” (REB/0061/97) and was the first solar heating plant in Europe with borehole storage in rock not utilizing a heat pump. Earlier evaluations of the system show lower performance than the preliminary simulation study, with residents complaining of a high use of electricity for domestic hot water (DHW) preparation and auxiliary heating. One explanation mentioned in the earlier evaluations is that the borehole storage had not yet reached “steady state” temperatures at the time of evaluation. Many years have passed since then and this paper presents results from a new evaluation. The main aim of this work is to evaluate the current performance of the system based on several key figures, as well as on system function based on available measurement data. The analysis show that though the borehole storage now has reached a quasi-steady state and operates as intended, the auxiliary electricity consumption is much higher than the original design values largely due to high losses in the distribution network, higher heat loads as well as lower solar gains.

Leakage Detection And Localization Method Based On A Hybrid Inverse/Direct Modelling Approach Suitable For Handling Multiple-Leak Scenarios

When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.

O computador na escola: um exame de uma prática

Este estudo objetivou contribuir para um melhor entendimento do processo de informatização em nossas escolas, enfatizando uma vertente ainda pouco explorada pelos pesquisadores: as possíveis mudanças organizacionais decorrentes da utilização do microcomputador. Esta temática foi introduzida, nesta dissertação, a partir da contextualização de algumas das inúmeras dimensões pedagógicas, históricas, econômicas, políticas e sociais, que entremeadas, formam o intrincado tecido da informatização da educação. Para seu desenvolvimento, tornou-se necessário adaptar-se a proposta de Robert Shirley (1976) para o exame de mudanças organizacionais e utilizou-se de algumas categorias de análise sugeridas por Sheingold e outras (1983). Realizou-se uma pesquisa, em estabelecimento educacional localizado na zona oeste da cidade do Rio de Janeiro, que pode ser classificada como um estudo de caso de caráter exploratório. Nesta pesquisa foram empregadas a observação não participante, entrevistas padronizadas e não padronizadas, questionários e análise documental. Em relação às estratégias de mudança, não se constatou o aparecimento dos novos papéis, a preparação formal dos professores não atingiu a maior parte do corpo docente e o acesso aos microcomputadores, restrito aos alunos do primeiro segmento do 12 grau, viu-se bastante limitado. Os sistemas de coordenação revelaram-se bastante centralizados e a distribuição de pOder mostrou-se hierarquizada, com forte submissão à autoridade da família proprietária. Diante de tal quadro, a participação dos professores, apesar de solicitada pela coordenação de informática, era na verdade imposta pela direção. O software adotado pela instituição foi o LOGO, utilizado ao lado da análise do discurso da criança. A síntese dos resultados evidenciou o crescente processo de mercantilização do ensino em nosso país e do uso da informática como um novo atrativo para a matrícula de novos alunos. Como conseqOência disto, surge a necessidade de novos estudos para se confirmar a relevância pedagógica da informatização do ensino ou para constatar-se, em escolas preocupadas apenas com o faturamento, sua importância comercial.

Um estudo de caso sobre aprendizagem organizacional

Frente às mudanças que estão ocorrendo ao longo dos últimos anos, onde a perspectiva da economia passa da industrial para a do conhecimento, nos defrontamos com um novo cenário onde o capital intelectual do individuo é percebido como fator de fundamental importância para o desenvolvimento e crescimento da organização. No entanto, para que esta evolução ocorra, o conhecimento tácito do individuo precisa ser disseminado e compartilhado com os demais integrantes da organização. A preocupação nas empresas se volta, então, para a elaboração de estratégias que corroborem no aperfeiçoamento de seus processos. Além disso, é preciso, também, gerenciar toda esta dinâmica de construção e desenvolvimento do conhecimento, de maneira adequada e eficaz proporcionando, assim, o surgimento de novos valores e de vantagem competitiva. Inumeros modelos para auxiliar no processo de aprendizagem organizacional foram desenvolvidos por diversos autores e estudiosos, dentre eles destacamos o sistema de lições aprendidas, que é construida a partir de experiências, positivas ou negativas, vivenciadas dentro de um contexto, sob ordenação de padrões culturais próprios, com impacto real e significativo. Baseado em processos e procedimentos estabelecidos pela coordenação de um dos produtos ofertados pela FGV e sua rede de distribuição, este trabalho tem como objetivo analisar, à luz da teoria da gestão do conhecimento e, mais especificamente, da gestão das lições aprendidas, como o gereciamento do conhecimento está sendo efetuado no projeto Melhores Práticas, criado pela referida coordenação. Espera-se, também, entender se as fases da aquisição, do desenvolvimento e da disseminação, neste cenário, estão sendo realizados de forma eficaz e, se os resultados alcançados podem servir como uma base para avaliação do efetivo compartilhamento do conhecimento.