Analysis of Harmonic Impacts on an Electric System Bus Using Artificial Neural Networks
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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Analysis of Harmonic Impacts on an Electric System Bus Using Artificial Neural Networks
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Descrição
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In this article is presented a methodology to investigate the influence on non-linear charges on the harmonic
voltage distortion (THDV) in electric system and to estimate the contribution of non-linear charges on the
voltage distortion of a bus of interest of the electric system of force studied in the article. This estimation was
accomplished through the construction of a model based on the Artificial Neural Networks (ANN), using the
software AAQEE dedicated to electricity quality (EQ) analysis, which the entrance of the model is constituted by
the harmonic current deriving from the non-linear charges connected to two feeders which compose the actual
system and the exit relating to the values of the harmonic voltage in the bus of interest. This study was fulfilled
to the following harmonic currents 5th and 7th individually, and the necessary data to the construction of the
model as well as to the validation of the results was acquired from a measurement campaign. The ANN
identified the feeder DIAL2-19 as most responsible for the THDV in the studied bus of the electric system, then
showing the percentage of the harmonic contribution of each feeder to the THDV in the bus
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Abstract
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In this article is presented a methodology to investigate the influence on non-linear charges on the harmonic
voltage distortion (THDV) in electric system and to estimate the contribution of non-linear charges on the
voltage distortion of a bus of interest of the electric system of force studied in the article. This estimation was
accomplished through the construction of a model based on the Artificial Neural Networks (ANN), using the
software AAQEE dedicated to electricity quality (EQ) analysis, which the entrance of the model is constituted by
the harmonic current deriving from the non-linear charges connected to two feeders which compose the actual
system and the exit relating to the values of the harmonic voltage in the bus of interest. This study was fulfilled
to the following harmonic currents 5th and 7th individually, and the necessary data to the construction of the
model as well as to the validation of the results was acquired from a measurement campaign. The ANN
identified the feeder DIAL2-19 as most responsible for the THDV in the studied bus of the electric system, then
showing the percentage of the harmonic contribution of each feeder to the THDV in the bus
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2021
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Palavra-chave
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Electricity quality
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Harmonic impacts on electric power systems
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Non-linear loads
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Computational Intelligence
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Neural Networks
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Autores
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Jayne do Nascimento Souza
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Jandecy Cabral Leite
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Rivanildo Duarte Almeida
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Local
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UFPA - Manaus, 2021
