127 resultados para Distribution network reconfiguration
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Engenharia Elétrica - FEIS
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Maintaining the levels of fluoride ion in public water supply within the parameters of adequacy it becomes essential so the measure carries a greater impact on caries prevention and control, without increasing the prevalence of dental fluorosis. Thus, it is necessary a rigorous control of the process, avoiding the undesired effects at levels above recommended levels, as well as avoiding levels below the recommended that do not offer the highest benefit. The aim of this study was to analyze the content of fluoride in public water supply in the city of Birigui, SP, with different sources of supply, checking if the fluoride levels are within the recommended. The samples were collected monthly from points previously established, with the knowledge of the distribution network of water and identifying the amount and location of supply sources and water treatment plant. Analyses were performed in duplicate in the period from January to December of 2009, in the laboratory - NEPESCO - of the Dental School of Araçatuba, Univ Estadual Paulista – UNESP, using an ion analyzer coupled to a specific electrode for fluoride. Of the total samples (n = 512), 44% (n = 224) had adequate levels and 56% (n = 288) inadequate levels, 10% (n = 49) lower levels and 46% (n = 239) showed levels above the recommended. There were differences in results when comparing the analysis of different sources. The fluoride concentration in the majority of the samples from deep wells was classified as inadequate not offering the desired benefit, or exposing the population to the risk of dental fluorosis.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The objective of this work is to conduct a comparative study between the fuse key and the single-phase seccionalizador, which are protective equipment used in an electricity distribution networks. This study has also the purpose to reduce the number of electrical power breakdown. Distribution networks are not free from faults, disturbances and failures, then the occurrence of adversities on the network, which may be transient or permanent faults, results in the interruption of electric power. Thus, there are protective systems of distribution networks, which aims to ensure that the electric system continues to function. The incidence of transient faults in the distribution network of this electricity company was used to generate immediate shutdown of customers due to the bad use of fuses as protective equipment by the reclosers. With the use of the fuse switch in the distribution network, there was the immediate shutdown of customers, however, using the single-phase seccionalizador as protective equipment by the reclosers, there are three attempts to restart the electricity power. As the attempts to restart the electricity power are able to eliminate a transient fault, not causing shutdown of any costumer, with the implementation of single-phase sectionalizers to replace the fuses, the number of company shutdowns due to transient faults was reduced by 47.6%
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One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally hard to solve. This paper proposes an algorithm based on artificial neural network theory. In this context, clustering techniques to determine the best training set for a single neural network with generalization ability are also presented. The proposed methodology was employed for solving two electrical systems and presented good results. Moreover, the methodology can be employed for large-scale systems in real-time environment.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real power losses of distribution systems. The main innovation of this research work is that new types of crossover and mutation operators are proposed, such that the best possible results are obtained, with an acceptable computational effort. The crossover and mutation operators were developed so as to take advantage of the particular characteristics of distribution systems (as the radial topology). Simulation results indicate that the proposed method is very efficient, being able to find excellent configurations, with low computational effort, especially for larger systems. ©2007 IEEE.
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This paper presents an efficient tabu search algorithm (TSA) to solve the problem of feeder reconfiguration of distribution systems. The main characteristics that make the proposed TSA particularly efficient are a) the way in which the neighborhood of the current solution was defined; b) the way in which the objective function value was estimated; and c) the reduction of the neighborhood using heuristic criteria. Four electrical systems, described in detail in the specialized literature, were used to test the proposed TSA. The result demonstrate that it is computationally very fast and finds the best solutions known in the specialized literature. © 2012 IEEE.
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The problem of reconfiguration of distribution systems considering the presence of distributed generation is modeled as a mixed-integer linear programming (MILP) problem in this paper. The demands of the electric distribution system are modeled through linear approximations in terms of real and imaginary parts of the voltage, taking into account typical operating conditions of the electric distribution system. The use of an MILP formulation has the following benefits: (a) a robust mathematical model that is equivalent to the mixed-integer non-linear programming model; (b) an efficient computational behavior with exiting MILP solvers; and (c) guarantees convergence to optimality using classical optimization techniques. Results from one test system and two real systems show the excellent performance of the proposed methodology compared with conventional methods. © 2012 Published by Elsevier B.V. All rights reserved.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)