Pricing of reactive power support provided by distributed generators in transmission systems

Distributed Generation, microgrid technologies, two-way communication systems, and demand response programs are issues that are being studied in recent years within the concept of smart grids. At some level of enough penetration, the Distributed Generators (DGs) can provide benefits for sub-transmission and transmission systems through the so-called ancillary services. This work is focused on the ancillary service of reactive power support provided by DGs, specifically Wind Turbine Generators (WTGs), with high level of impact on transmission systems. The main objective of this work is to propose an optimization methodology to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). LOC occur when more reactive power is required than available, and the active power generation has to be reduced in order to increase the reactive power capacity. In the optimization process, three objectives are considered: active power generation costs of DGs, voltage stability margin of the system, and losses in the lines of the network. Uncertainties of WTGs are reduced solving multi-objective optimal power flows in multiple probabilistic scenarios constructed by Monte Carlo simulations, and modeling the time series associated with the active power generation of each WTG via Fuzzy Logic and Markov Chains. The proposed methodology was tested using the IEEE 14 bus test system with two WTGs installed. © 2011 IEEE.

Straightforward systematic approach for fuel efficiency and emissions assessment in automotive systems

At this time, each major automotive market bares its own standards and test procedures to regulate the vehicle green house gases emissions and, thus, fuel consumption. Hence, much are the ways to evaluate the overall efficiency of motor vehicles. The majority of such standards rely on dynamometer cycle tests that appraise only the vehicle as a whole, but fail to assess emissions for each component or sub-system. Once the amount of work generated by the power source of an ICE vehicle to overcome the driving resistance forces is proportional to the energy contained in the required amount of fuel, the power path of the vehicle can be straightforwardly modeled as a set of mechanical systems, and each sub-system evaluated for its share on the total fuel consumption and green house gases emission. This procedure enables the estimation of efficiency gains on the system due to improvement of particular elements on the vehicle's driveline. In this work a simple systematic mechanical model of an arbitrary smallsized hatch back was assembled and total required energy calculated for different regulatory cycles. All the modeling details of the energy balance throughout the system are presented. Afterward, each subsystem was investigated for its role on the fuel consumption and the generated emission quantified. Furthermore, the application of the modeling technique for different sets of sub-systems was introduced. Copyright © 2011 SAE International.

Fault location in underground systems through optimum-path forest

In this paper we propose an accurate method for fault location in underground distribution systems by means of an Optimum-Path Forest (OPF) classifier. We applied the Time Domains Reflectometry method for signal acquisition, which was further analyzed by OPF and several other well known pattern recognition techniques. The results indicated that OPF and Support Vector Machines outperformed Artificial Neural Networks classifier. However, OPF has been much more efficient than all classifiers for training, and the second one faster for classification. © 2011 IEEE.

Molar incisor hypomineralisation: Possible aetiological factors in children from urban and rural areas

Aim: To analyse factors potentially associated with molar incisor hypomineralisation (MIH) development. METHODS: A population-based study was carried out with 903 children aged from 6-12 years old, born and residing in rural and urban areas of the town of Botelhos, State of Minas Gerais, Brazil. Their mothers completed a structured medical history questionnaire, from pregnancy to the child's 3rd year of life. Two examiners evaluated children for MIH according to criteria suggested by the European Academy of Paediatric Dentistry. Descriptive analyses of the data and odds ratios (OR) with 95% test-based confidence intervals (CI) were estimated. Chisquare test was used to evaluate the differences between groups. RESULTS: The prevalence of MIH in children from rural area (RA) was significantly higher than those from the urban area (UA) (24.9% versus 17.8%, p= 0.01). In urban children, neither significant associations with MIH nor medical problems were found. In rural children, however, MIH was significantly more common among those whose mothers had experienced medical problems during pregnancy (OR=2.11; 1.01-4.37 CI 95%; p=0.04), who had throat infections (OR=2.93; 1.47-5.87 CI 95%; p=0.01), who had high fever (OR=1.91; 1.07-3.39 CI 95%; p=0.02), and who had used amoxicillin associated with other antibiotics (OR=1.92; 1.02-3.62 CI 95%; p=0.04) during the first 3 years of life. CONCLUSION: This study suggests a link between MIH and health problems during pregnancy, as well as environmental factors.

Fault location in underground systems using artificial neural networks and PSCAD/EMTDC

The need for high reliability and environmental concerns are making the underground networks the most appropriate choice of energy distribution. However, like any other system, underground distribution systems are not free of failures. In this context, this work presents an approach to study underground systems using computational tools by integrating the software PSCAD/EMTDC with artificial neural networks to assist fault location in power distribution systems. Targeted benefits include greater accuracy and reduced repair time. The results presented here shows the feasibility of the proposed approach. © 2012 IEEE.

Metabolic syndrome risk factors in overweight, obese, and extremely obese brazilian adolescents

Background: Obesity in infancy and adolescence has acquired epidemic dimensions worldwide and is considered a risk factor for a number of disorders that can manifest at an early age, such as Metabolic Syndrome (MS). In this study, we evaluated overweight, obese, and extremely obese adolescents for the presence of MS, and studied the prevalence of single factors of the syndrome in this population. Methods. A total of 321 adolescents (174 females and 147 males) aged 10 to 16 years, attending the Adolescent Outpatient Clinic of Botucatu School of Medicine, Brazil, between April 2009 and April 2011 were enrolled in this study. Adolescents underwent anthropometric evaluation (weight, height, and abdominal circumference) and Body Mass Index (BMI) was estimated according to age and gender, following Disease Control and Prevention Centers recommendations (CDC, 2000). Blood pressure was measured and individuals with BMI ≥ 85§ssup§th§esup§ percentile were submitted to laboratory evaluation for Total Cholesterol, HDL and LDL Cholesterol, Triglycerides, Fasting Insulinemia, and Fasting Glycemia to identify MS factors, according to the criteria suggested by the International Diabetes Federation. Insulin resistance was calculated by HOMA-IR, Quicki, and Fasting Glycemia/Fasting Insulinemia (FGI). Results and discussion. Of the 321 adolescents, 95 (29.6%) were overweight, 129 (40.2%) were obese, and 97 (30.2%) were extremely obese. Around 18% were diagnosed with MS. The most prevalent risk factors were abdominal circumference ≥90§ssup§th§esup§ percentile (55%), HDL < 40 mg/dL (35.5%), High Pressure ≥130/85 mm/Hg (21%), Triglycerides ≥150 mg/dL (18.5%), and Fasting Glycemia ≥100 mg/dL (2%). Insulin resistance was observed in 65% of the adolescents. Conclusion: An increased prevalence of overweight and obesity, together with cardiometabolic risk factors such as dyslipidemia and abnormal blood pressure, were observed in adolescents, contributing to the onset of metabolic syndrome at younger ages. Risk factors for MS were more prevalent in females. © 2013 Rizzo et al.; licensee BioMed Central Ltd.

The most frequent cardiovascular risk factors in Brazilian aged 80 years or older

To identify the most frequent cardiovascular risk factors (CRFs) in Brazilian participants. Sample of 113 individuals aged 80 to 95 years (83.4 + 2.9 years), of both sexes, from Presidente Prudente, São Paulo state. Waist circumference (WC), body mass index, percentage of total body fat (% BF), hypertension, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, and glucose were used for characterization of risk factors. The chi-square test was used to assess proportions of risk factors and Student's t test to compare the results between the sexes. High prevalence of risk factor was observed, mainly hypertension (67.3%) and % BF (79.6%). Male participants presented higher weight, height, and WC (p <.001), and female participants, higher TC and % BF (p <.001). Only 7.1% of male and 4.2% of female participants showed no risk factors, and 71.3% of male and 85.9% of female participants had three or more. The participants presented a high prevalence of CRFs, particularly percentage of body fat and hypertension, and, in addition, female participants also presented TC. © The Author(s) 2011.

Association between physical activity and cardiovascular risk factors in individuals undergoing cardiac rehabilitation program

Introduction: Physical activity (PA) practice presents an inverse relation with risk factors (RF) of cardiovascular disease, with positive effects in quality of life and other physical and psychological variables. However, the benefits of daily activities have not been established. Objective: To investigate the prevalence and association of cardiovascular risk factors and physical activity in different categories of patients under a cardiac rehabilitation program. Methods: 69 participants of a cardiac rehabilitation program were evaluated and weight, height and blood pressure were checked. Afterwards, the patients answered questionnaires to assess self-reported physical activity level, stress level and verify the presence of RF. Logistic regression was used to estimate odds ratio. Results: High prevalence of RF was found in the subjects, age and hypertension were more prevalent while smoking and stress had lower prevalence. Most individuals were classified as sedentary, except for locomotion PA (LPA). Conclusion: That there is high prevalence of RF in patients attending cardiac rehabilitation programs, while sedentary ones are more likely to have the RF hypertension, obesity, smoking, alcohol and stress than the active ones, depending on the PA category.

Problems of load dispatching in interconnected systems

Includes bibliography

A inteligência competitiva organizacional e os sistemas integrados de gestão ERP: um estudo nas indústrias calçadistas de Jaú

Pós-graduação em Ciência da Informação - FFC

Studies toward the identification of transcription factors in cassava storage root

Fatores de transcrição desempenham importantes funções em vários processos fisiológicos. Nos últimos anos, muitos fatores de transcrição têm sido isolados de plantas, emergindo como poderosas ferramentas na manipulação de características agronômicas. No presente trabalho, iniciamos estudos para isolar fatores de transcrição de mandioca (Manihot esculenta Crantz), importante cultura tropical e subtropical. Nossos resultados revelaram três tipos de proteínas diferencialmente expressas na raiz de reserva de mandioca (Manihot esculenta Crantz):e imunologicamente relacionadas com o fator de transcrição opaco-2 de milho. Experimentos de Southwestern mostraram duas proteínas capazes de interagir in vitro com uma seqüência de DNA do gene be2S1 de castanha-do-brasil.

Genetic variation in native and farmed populations of Tambaqui (Colossoma macropomum) in the Brazilian Amazon: regional discrepancies in farming systems

O tambaqui, Colossoma macropomum, é a espécie de peixes mais popularmente usada para a aquicultura no Brasil, mas não há nenhum estudo comparando a variação genética entre as populações nativas e de cultivo desta espécie. No presente estudo foram analisadas sequências de DNA mitocondrial para avaliar a diversidade genética entre duas populações selvagens, um plantel de produção de alevinos, e uma amostra de estoques de piscicultura, todos da região de Santarém, no oeste do estado do Pará. Níveis similares de diversidade genética foram encontrados em todas as amostras e, surpreendentemente, o plantel mostrou expressiva representação da diversidade genética registrada em populações selvagens. Estes resultados contrastam consideravelmente com os do estudo anterior de estoques cultivados nos estados do Amapá, Pará, Piauí, Rondônia, que registrou apenas dois haplótipos, indicando uma longa história de endogamia nas matrizes utilizadas para a produção de alevinos. Os resultados dos dois estudos mostram dois cenários distintos de aquicultura do tambaqui na Amazônia, que devem ser melhor avaliados, a fim de garantir o sucesso da expansão da atividade na região, e no resto do Brasil, já que o tambaqui e seus híbridos agora são cultivados em todo o país.