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Impact of.the Objective f.nction on the Construction of.Internal Grids of.Wind f.rms Using Genetic Algorithm

Open Journal of.Civil Engineering 2016年第5期6卷 705-721页

作者： Paulo R. Monteiro Duailibe Thiago T. Borges andré f. schiochet Carlos Alberto P. Soares Programa de Pós-Graduaç ã o em Engenharia Civil Universidade Federal Fluminenese Niterói Brasil Departamento de Engenharia Elétrica Universidade Federal Fluminense Niterói Brasil Petróleo Brasileiro S/A Rio de Janeiro Brasil

The macro complex of.the construction industry is energy intensive. Solutions that enable the supply of.this demand while meeting the principles of.sustainability are needed. The construction of.wind f.rms has been a strategy employed by many countries to produce clean energy. An increase in the construction of.wind f.rms has also been witnessed in Brazil. This calls f.r dif.erent activities, such as the design and construction of.inf.astructure. This article f.cuses on the design of.internal medium voltage distribution grids f.r wind f.rms. The purpose is to f.nd a radial conf.guration that connects a set of.wind generators to the substation, in an optimum way, minimizing operational and construction costs, reducing loss and theref.re contributing to sustainability. In large f.rms, the project design consists of.a large combinatorial optimization problem, given the large number of.possible conf.gurations to be deployed. f.nding the best solution f.r the internal grid depends on the criterion adopted f.r the objectives pursued. This article analyzes the dif.erent criteria that can be adopted in the design of.the wind f.rm’s internal grid using a methodology based on genetic algorithm (GA). Its aim is to identif. their inf.uence on the solution of.the problem and help decision-making by f.nding the most adequate criterion f.r the objectives pursued. The results show that the design of.the internal grid is sensitive to the criteria adopted f.r the objective f.nction. In addition, the degree of.sensitivity is analyzed, showing that, in some cases, the solutions are not economically attractive and do not contribute to the reduction of.losses.

关键词： Construction Inf.astructure Wind f.rm Inf.astructure Collection Grid Network Conf.guration Genetic Algorithm

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