DC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power in Distribution Networks

This paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model considering the Pareto front and based on mixed integer non-linear optimization programming is developed in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power to all customers in the distribution network at the minimum possible cost for the system operator, while minimizing the non supplied energy cost. To illustrate the application of the proposed methodology, the paper includes a case study which considers an 33 bus distribution network.

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

This paper presents a modified Particle Swarm Optimization (PSO) methodology to solve the problem of energy resources management with high penetration of distributed generation and Electric Vehicles (EVs) with gridable capability (V2G). The objective of the day-ahead scheduling problem in this work is to minimize operation costs, namely energy costs, regarding the management of these resources in the smart grid context. The modifications applied to the PSO aimed to improve its adequacy to solve the mentioned problem. The proposed Application Specific Modified Particle Swarm Optimization (ASMPSO) includes an intelligent mechanism to adjust velocity limits during the search process, as well as self-parameterization of PSO parameters making it more user-independent. It presents better robustness and convergence characteristics compared with the tested PSO variants as well as better constraint handling. This enables its use for addressing real world large-scale problems in much shorter times than the deterministic methods, providing system operators with adequate decision support and achieving efficient resource scheduling, even when a significant number of alternative scenarios should be considered. The paper includes two realistic case studies with different penetration of gridable vehicles (1000 and 2000). The proposed methodology is about 2600 times faster than Mixed-Integer Non-Linear Programming (MINLP) reference technique, reducing the time required from 25 h to 36 s for the scenario with 2000 vehicles, with about one percent of difference in the objective function cost value.

Voltage Magnitude Analysis Considering Load Curtailment Minimization in Sub-Transmission Networks with Distributed Generators

Most of distribution generation and smart grid research works are dedicated to the study of network operation parameters, reliability among others. However, many of this research works usually uses traditional test systems such as IEEE test systems. This work proposes a voltage magnitude study in presence of fault conditions considering the realistic specifications found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzyprobabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12 bus sub-transmission network.

Impact of Distributed Generation in the Transmission System Expansion Planning

In this work, the impact of distributed generation in the transmission expansion planning will be simulated through the performance of an optimization process for three different scenarios: the first without distributed generation, the second with distributed generation equivalent to 1% of the load, and the third with 5% of distributed generation. For modeling the expanding problem the load flow linearized method using genetic algorithms for optimization has been chosen. The test circuit used is a simplification of the south eastern Brazilian electricity system with 46 buses.

Voltage Analysis and Load Curtailment Minimization in Sub-transmission Networks with Distributed Generation

Most of distributed generation and smart grid research works are dedicated to network operation parameters studies, reliability, etc. However, many of these works normally uses traditional test systems, for instance, IEEE test systems. This paper proposes voltage magnitude and reliability studies in presence of fault conditions, considering realistic conditions found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12-bus sub-transmission network.

Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players

The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.

Computational design with flexible backbone sampling for protein remodeling and scaffolding of complex binding sites

Dissertation presented to obtain the Doutoramento (Ph.D.) degree in Biochemistry at the Instituto de Tecnologia Qu mica e Biol ogica da Universidade Nova de Lisboa

Contribuição para o estudo da utilização de materiais fotocatalíticos para a degradação de cianobactérias e microcistinas em massas de águas naturais

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente,Perfil Engenharia Sanitária

Au-nanossondas aplicação na detecção de Mycobacterium tuberculosis e plasmodium berghei

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Biotecnologia

HANTAVIRUS PULMONARY SYNDROME (HPS) IN GUARIBA, SP, BRAZIL: REPORT OF 2 CASES

Human infections caused by a hantavirus were reported in different regions of the State of São Paulo (SP), Brazil during the first six months of 1998. Two cases of fatal pulmonary syndrome occurred in May of 1998 in the City of Guariba, located in the Northeastern Region of SP. Both patients worked in a corn storage barn infested by rodents. These patients, after 2 or 3 days of non-specific febrile illness, developed a severe interstitial pneumonia spreading widely in both lungs, causing respiratory failure and death. At autopsy both patients showed lung interstitial edema with immunoblast-like mononuclear cell infiltrates, consistent with a viral etiology. Hantavirus infection was diagnosed by ELISA in both cases and by RT-PCR in one of the patients. Aspects of the clinical presentation, physiopathology and differential diagnosis of Hantavirus Pulmonary Syndrome are discussed.

MicroRNA-375 plays a dual role in prostate carcinogenesis

Background: Prostate cancer (PCa), a highly incident and heterogeneous malignancy, mostly affects men from developed countries. Increased knowledge of the biological mechanisms underlying PCa onset and progression are critical for improved clinical management. MicroRNAs (miRNAs) deregulation is common in human cancers, and understanding how it impacts in PCa is of major importance. MiRNAs are mostly downregulated in cancer, although some are overexpressed, playing a critical role in tumor initiation and progression. We aimed to identify miRNAs overexpressed in PCa and subsequently determine its impact in tumorigenesis. Results: MicroRNA expression profiling in primary PCa and morphological normal prostate (MNPT) tissues identified 17 miRNAs significantly overexpressed in PCa. Expression of three miRNAs, not previously associated with PCa, was subsequently assessed in large independent sets of primary tumors, in which miR-182 and miR-375 were validated, but not miR-32. Significantly higher expression levels of miR-375 were depicted in patients with higher Gleason score and more advanced pathological stage, as well as with regional lymph nodes metastases. Forced expression of miR-375 in PC-3 cells, which display the lowest miR-375 levels among PCa cell lines, increased apoptosis and reduced invasion ability and cell viability. Intriguingly, in 22Rv1 cells, which displayed the highest miR-375 expression, knockdown experiments also attenuated the malignant phenotype. Gene ontology analysis implicated miR-375 in several key pathways deregulated in PCa, including cell cycle and cell differentiation. Moreover, CCND2 was identified as putative miR-375 target in PCa, confirmed by luciferase assay. Conclusions: A dual role for miR-375 in prostate cancer progression is suggested, highlighting the importance of cellular context on microRNA targeting.

Gallium-67 imaging in a patient with paracoccidioidomycosis: a case report

A 26 year-old female was admitted with abdominal pain, fever and weight loss. The clinical and laboratory investigations led to the diagnosis of paracoccidioidomycosis. Gallium-67 whole body images correlated well with the clinical course of the disease and with the patient's prognosis.

Julião Sarmento dentro do texto. Reflexões sobre os encontros e desencontros da crítica com a sua obra

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em História de Arte Contemporânea

Abastecimento de água e drenagem de águas residuais no concelho de Cinfães

O presente relatório, desenvolvido no âmbito do estágio curricular realizado na Câmara Municipal de Cinfães, tem como objetivo caracterizar os sistemas de Abastecimento de Água e Drenagem de Água Residuais em Cinfães, analisando o seu funcionamento e a sustentabilidade de possíveis cenários futuros. Deste modo, o relatório inicia-se com a caracterização do Concelho, no seu enquadramento regional. Em seguida, são caracterizados os sistemas de água e saneamento, incluindo a evolução das redes de abastecimento, antes e depois da integração no sistema multimunicipal da Águas do Douro e Paiva (AdDP), de acordo com registos camarários. Nessa linha, foram analisados os problemas existentes e realizada uma caracterização da qualidade do serviço prestado atualmente, por ambos os sistemas. Tomando em consideração os dados de avaliação da Entidade Reguladora (ERSAR), conclui-se que os sistemas em causa estão ainda, de forma geral, aquém dos valores considerados de referência para a boa qualidade da prestação de serviços, em especial no que toca à cobertura dos serviços. Não obstante, por realização de um inquérito a uma amostra de 53 utentes dos sistemas de abastecimento de água e drenagem de águas residuais de Cinfães foi possível verificar que, o grau de satisfação é razoável ao nível da qualidade da água, garantia de pressões, níveis de falhas, rapidez de resposta na correção das mesmas e ainda das tarifas praticadas. Por último, é analisado um estudo, levado a cabo pelo consórcio Norteágua, para o grupo Águas de Portugal, relativamente à evolução dos sistemas de abastecimento de água e de drenagem e tratamento de águas residuais, em Cinfães. Neste capítulo, são abordadas situações de intervenção, propostas de evolução dos sistemas e estimativa de custos para essas soluções. Com base nesses elementos é feita uma avaliação simplificada da sustentabilidade económica dos sistemas na situação futura. Dessa análise foi possível concluir que a situação mais gravosa corresponde à drenagem e tratamento de águas residuais.