Capacitor and passive filter placement in distribution systems bynondominated sorting genetic algorithm-II
Item
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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Capacitor and passive filter placement in distribution systems bynondominated sorting genetic algorithm-II
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Descrição
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The optimization of passive filters in distribution systems has been addressed through differentapproaches. In general, these approaches can be classified as single-objective and multi-objective formu-lations. The single-objective formulations normally try to determine the least costly filters that ensurecompliance with the relevant power quality standards. In multi-objective approaches, other goals areadded. In general, most studies consider the reactive power of filters at a fundamental frequency tobe equal to a previously determined magnitude, and the optimization is devoted to calculate the otherparameters of the filters that are required to minimize the distortion indices of the network. In thepresent approach, the capacitor placement and passive filter placement problems are considered as aunified problem in which a set of passive compensators (capacitors and/or tuned filters) that allow toobtain the maximum annual saving in cost and maximum improvement of the power quality of the circuitare determined. In this study, the annual saving is calculated as the equivalent present value of the com-pensation project to simultaneously account for the benefits of the reactive power compensation and thecost of investment in the compensators. Although many studies have solved the multi-objective problemby minimizing a single function comprising several subobjectives, this study employs the nondominatedsorting genetic algorithm for the optimization of several objective functions. The present approach istested with two example circuits from literature.
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Abstract
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The optimization of passive filters in distribution systems has been addressed through differentapproaches. In general, these approaches can be classified as single-objective and multi-objective formu-lations. The single-objective formulations normally try to determine the least costly filters that ensurecompliance with the relevant power quality standards. In multi-objective approaches, other goals areadded. In general, most studies consider the reactive power of filters at a fundamental frequency tobe equal to a previously determined magnitude, and the optimization is devoted to calculate the otherparameters of the filters that are required to minimize the distortion indices of the network. In thepresent approach, the capacitor placement and passive filter placement problems are considered as aunified problem in which a set of passive compensators (capacitors and/or tuned filters) that allow toobtain the maximum annual saving in cost and maximum improvement of the power quality of the circuitare determined. In this study, the annual saving is calculated as the equivalent present value of the com-pensation project to simultaneously account for the benefits of the reactive power compensation and thecost of investment in the compensators. Although many studies have solved the multi-objective problemby minimizing a single function comprising several subobjectives, this study employs the nondominatedsorting genetic algorithm for the optimization of several objective functions. The present approach istested with two example circuits from literature.
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2016
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Palavra-chave
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Passive filters
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Distribution systems
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Harmonics
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NSGA-II
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Autores
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Jandecy Cabral Leite
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Ignacio Pérez Abril
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Manoel Socorro Santos Azevedo
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Local
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UFPA - INGLATERRA, 2016
