THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD

Electricity, DC voltage – AC voltage, conversion generated from certain renewable energy sources such as photovoltaic panels should be made with quality factors imposed by the present standards. In the case of multilevel converters the achievement of reasonable distortion factor is realized by optim...

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Main Authors: Horatiu Dacian LASLO, Traian VARODI
Format: Article
Language:English
Published: Technical University of Cluj-Napoca 2018-12-01
Series:Carpathian Journal of Electrical Engineering
Subjects:
Online Access:http://cee.cunbm.utcluj.ro/wp-content/uploads/2018/12/CJEE20181.pdf
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spelling doaj-aff1892f7f9846028067965bcbbc65232020-11-24T21:57:33ZengTechnical University of Cluj-NapocaCarpathian Journal of Electrical Engineering1843-75831843-75832018-12-01121721THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHODHoratiu Dacian LASLO0Traian VARODI1SC Electroplus SRL Cluj-Napoca,RomaniaTechnical University of Cluj-Napoca, RomaniaElectricity, DC voltage – AC voltage, conversion generated from certain renewable energy sources such as photovoltaic panels should be made with quality factors imposed by the present standards. In the case of multilevel converters the achievement of reasonable distortion factor is realized by optimizing the targeted waveform using Newton Raphson method. This paper presents an optimization solution based on genetic algorithm. Voltage waveforms obtained by this technique and the total harmonic distortion degree of reduction are presented by comparing the results obtained from supplying a consumer with a voltage generated in classical way through DC-AC conversion, using multilevel converter.http://cee.cunbm.utcluj.ro/wp-content/uploads/2018/12/CJEE20181.pdfdistortionmultilevel converteralgorithms
collection DOAJ
language English
format Article
sources DOAJ
author Horatiu Dacian LASLO
Traian VARODI
spellingShingle Horatiu Dacian LASLO
Traian VARODI
THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
Carpathian Journal of Electrical Engineering
distortion
multilevel converter
algorithms
author_facet Horatiu Dacian LASLO
Traian VARODI
author_sort Horatiu Dacian LASLO
title THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
title_short THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
title_full THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
title_fullStr THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
title_full_unstemmed THE REDUCTION OF TOTAL HARMONIC DISTORTION FOR THE MULTILEVEL CONVERTER USING GENETIC ALGORITHMS OPTIMIZATION METHOD
title_sort reduction of total harmonic distortion for the multilevel converter using genetic algorithms optimization method
publisher Technical University of Cluj-Napoca
series Carpathian Journal of Electrical Engineering
issn 1843-7583
1843-7583
publishDate 2018-12-01
description Electricity, DC voltage – AC voltage, conversion generated from certain renewable energy sources such as photovoltaic panels should be made with quality factors imposed by the present standards. In the case of multilevel converters the achievement of reasonable distortion factor is realized by optimizing the targeted waveform using Newton Raphson method. This paper presents an optimization solution based on genetic algorithm. Voltage waveforms obtained by this technique and the total harmonic distortion degree of reduction are presented by comparing the results obtained from supplying a consumer with a voltage generated in classical way through DC-AC conversion, using multilevel converter.
topic distortion
multilevel converter
algorithms
url http://cee.cunbm.utcluj.ro/wp-content/uploads/2018/12/CJEE20181.pdf
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