Optimal allocation of capacitors in radial distribution systems with distributed generation

This paper presents a mixed-integer linear programming approach to solving the optimal fixed/switched capacitors allocation (OCA) problem in radial distribution systems with distributed generation. The use of a mixed-integer linear formulation guarantees convergence to optimality using existing optimization software. The results of one test system and one real distribution system are presented in order to show the accuracy as well as the efficiency of the proposed solution technique. © 2011 IEEE.

Elaboração de uma metodologia para análise de viabilidade técnica e econômica para implantação de usinas hidrelétricas com aproveitamentos de baixa queda

Pós-graduação em Engenharia Mecânica - FEG

Otimização multiobjetivo no planejamento agregado da produção e na cogeração de energia elétrica de usina do setor sucroenergético

Pós-graduação em Engenharia Mecânica - FEG

Revisão da literatura sobre modelos de Programação por Metas determinística e sob incerteza

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Utilização da programação por metas e análise por envoltória de dados para seleção de variedades de cana de açúcar para plantio em uma usina sucroalcooleira

Organizational change is occurring in the Brazilian agribusiness from sugar cane in recent decades. Aspects of management in this sector are being changed due to the importance of its products, especially ethanol and electricity. It is observed in the literature a lack of quantitative studies in this Brazilian sector, particularly the selection of sugarcane varieties for planting. This study proposes the use of Goal Programming (GP) with Data Envelopment Analysis (DEA) to select efficient varieties of sugarcane for planting in a sugar and ethanol milling company. The study allowed the identification of efficient sugarcane varieties. This way, it helped the company to make more reliable decisions, favoring the increase of productivity

O prosumidor e as Relações Públicas na era da convergência midiática

This study supports the role of Public Relations within Organizations, inserted in the context of the media convergence age, in which all the medias complement each other and can be used together to achieve a given goal. The approach is exposed after reflection on consumers’ specificity and identity, in addition to an approach about media convergence age characteristics, such as collective intelligence, participatory culture and affective economy. Throughout this paper, it is also discussed the concept of Transmedia Storytelling and how consumers and communicators stories have become especially important in the convergence age. In this context, consumers are understood as prosumers, since they infer and influence brands, organizations or products, by using words. We showed that, because of those prosumers narratives, an organization may became susceptible to their image destruction in a short period of time or get more acceptance and profitability. Thus, Public Relations presents itself as a communication professional that can use several corporate strategies in the relationship between organizations and their different target audience

Improvements in the score matrix calculation method using parallel score estimating algorithm

The increasing amount of sequences stored in genomic databases has become unfeasible to the sequential analysis. Then, the parallel computing brought its power to the Bioinformatics through parallel algorithms to align and analyze the sequences, providing improvements mainly in the running time of these algorithms. In many situations, the parallel strategy contributes to reducing the computational complexity of the big problems. This work shows some results obtained by an implementation of a parallel score estimating technique for the score matrix calculation stage, which is the first stage of a progressive multiple sequence alignment. The performance and quality of the parallel score estimating are compared with the results of a dynamic programming approach also implemented in parallel. This comparison shows a significant reduction of running time. Moreover, the quality of the final alignment, using the new strategy, is analyzed and compared with the quality of the approach with dynamic programming.

Programação por Metas, Análise por Envoltória de Dados e Teoria Fuzzy na avaliação da eficiência sob incerteza: aplicação em minifábricas do segmento de autopeças

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Bilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programming

In this study, a novel approach for the optimal location and contract pricing of distributed generation (DG) is presented. Such an approach is designed for a market environment in which the distribution company (DisCo) can buy energy either from the wholesale energy market or from the DG units within its network. The location and contract pricing of DG is determined by the interaction between the DisCo and the owner of the distributed generators. The DisCo intends to minimise the payments incurred in meeting the expected demand, whereas the owner of the DG intends to maximise the profits obtained from the energy sold to the DisCo. This two-agent relationship is modelled in a bilevel scheme. The upper-level optimisation is for determining the allocation and contract prices of the DG units, whereas the lower-level optimisation is for modelling the reaction of the DisCo. The bilevel programming problem is turned into an equivalent single-level mixed-integer linear optimisation problem using duality properties, which is then solved using commercially available software. Results show the robustness and efficiency of the proposed model compared with other existing models. As regards to contract pricing, the proposed approach allowed to find better solutions than those reported in previous works. © The Institution of Engineering and Technology 2013.

Optimal reactive power flow via the modified barrier Lagrangian function approach

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A novel approach based on recurrent neural networks applied to nonlinear systems optimization

This paper presents an efficient approach based on recurrent neural network for solving nonlinear optimization. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The main advantage of the developed network is that it treats optimization and constraint terms in different stages with no interference with each other. Moreover, the proposed approach does not require specification of penalty and weighting parameters for its initialization. A study of the modified Hopfield model is also developed to analyze its stability and convergence. Simulation results are provided to demonstrate the performance of the proposed neural network. (c) 2005 Elsevier B.V. All rights reserved.

A Bilevel Approach to Transmission Expansion Planning Within a Market Environment

We present a bilevel model for transmission expansion planning within a market environment, where producers and consumers trade freely electric energy through a pool. The target of the transmission planner, modeled through the upper-level problem, is to minimize network investment cost while facilitating energy trading. This upper-level problem is constrained by a collection of lower-level market clearing problems representing pool trading, and whose individual objective functions correspond to social welfare. Using the duality theory the proposed bilevel model is recast as a mixed-integer linear programming problem, which is solvable using branch-and-cut solvers. Detailed results from an illustrative example and a case study are presented and discussed. Finally, some relevant conclusions are drawn.

Auditoria no Sistema Único de Saúde: o papel do auditor no serviço odontológico

A auditoria, na saúde, verifica os processos e resultados da prestação de serviços, pressupondo o desenvolvimento de um modelo de atenção adequado, de acordo com as legislações vigentes. Nesta pesquisa, objetivou-se analisar as atividades da auditoria no Sistema Único de Saúde no serviço de saúde bucal, buscando demonstrar as ações e a sua inserção nas três esferas de governo. Foram realizadas análise documental e levantamentos bibliográficos sobre os sistemas de auditoria e o papel do auditor no serviço odontológico desde 1969. Os resultados mostraram que foram encontrados seis artigos sobre auditoria odontológica no SUS e que a atuação do auditor odontológico é abrangente no gerenciamento do sistema, consistindo no controle, na avaliação, na supervisão e na orientação, bem como na garantia da participação social e acesso aos serviços. Na saúde bucal o auditor analisa, monitora e fiscaliza o planejamento das estratégias e os procedimentos efetuados; realiza o cadastramento dos profissionais, das unidades de saúde e a programação física orçamentária; viabiliza os dados para o sistema de informação e o pagamento dos serviços prestados; examina o cumprimento das pactuações, dando um enfoque educativo e não mais policialesco à resolubilidade dos problemas. Conclui-se que existem poucos estudos sobre auditoria odontológica no SUS e que o sistema de auditoria é um instrumento administrativo confiável e essencial para os gestores no desenvolvimento das ações de saúde.

A comparative expression analysis of gene transcripts in brain tissue of non-transgenic and GH-transgenic zebrafish (Danio rerio) using a DDRT-PCR approach

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Characterization of humic-rich hydrocolloids and their metal species by means of competing ligand and metal exchange - an on-site approach

An improved on-site characterization of humic-rich hydrocolloids and their metal species in aquatic environments was the goal of the present approach. Both ligand exchange with extreme chelators ( diethylenetetraaminepentaacetic acid ( DTPA), ethylendiaminetetraacetic acid ( EDTA)) and metal exchange with strongly competitive cations (Cu(II)) were used on-site to characterize the conditional stability and availability of colloidal metal species in a humic-rich German bogwater lake ( Venner Moor, Munsterland). A mobile time-controlled tangential-flow ultrafiltration technique (cut-off: 1 kDa) was applied to differentiate operationally between colloidal metal species and free metal ions, respectively. DOC ( dissolved organic carbon) and metal determinations were carried out off-site using a home-built carbon analyzer and conventional ICP-OES ( inductively-coupled plasma-optical emission spectrometry), respectively. From the metal exchange equilibria obtained on-site the kinetic and thermodynamic stability of the original metal species ( Fe, Mn, Zn) could be characterized. Conditional exchange constants K ex obtained from aquatic metal species and competitive Cu(II) ions follow the order Mn > Zn >> Fe. Obviously, Mn and Zn bound to humic-rich hydrocolloids are very strongly competed by Cu( II) ions, in contrast to Fe which is scarcely exchangeable. The exchange of aquatic metal species (e.g. Fe) by DTPA/EDTA exhibited relatively slow kinetics but rather high metal availabilities, in contrast to their Cu(II) exchange.