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Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine

The wind energy source as an alternative to conventional sources to generate power has been increasingly popular due to abundant in nature and pollution free. The wind energy sources are undepletable, however, they are not able to generate as much electricity due to their intermittent nature. Theref...

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Main Authors: Parvin, K., Kit, Y.K., Jern, K.P., Hoque, M.M., Hannan, M.A.
Format: Article
Language:English
Published: 2020
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/13116
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spelling my.uniten.dspace-131162020-09-21T02:27:00Z Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine Parvin, K. Kit, Y.K. Jern, K.P. Hoque, M.M. Hannan, M.A. The wind energy source as an alternative to conventional sources to generate power has been increasingly popular due to abundant in nature and pollution free. The wind energy sources are undepletable, however, they are not able to generate as much electricity due to their intermittent nature. Therefore, a wind energy conversion system (WECS) with accurate maximum power point tracking (MPPT) inverter controller is essential in order to improve the wind energy capturing capability. This paper aims to develop an optimal Fuzzy logic MPPT inverter controller for grid connected wind turbine so that the energy capturing efficiency of the system can be maximized. In this research work, the MPPT inverter controller is designed on the basis of hill climb search method, fuzzy logic control and heuristic particle swarm optimization (PSO) algorithm. The performance of WECS is demonstrated with the generated output voltage, current and power waveforms, DC link voltage waveform, and the generator speed. According to the results obtained for both normal Fuzzy logic MPPT control and optimized Fuzzy logic MPPT control WECS, the performance of PSO optimized Fuzzy logic MPPT inverter controller has better maximum power point performance and efficiency in tracking wind energy in terms of much smooth, less distortion and fewer fluctuation outcomes at the various step wind speed conditions. The proposed optimal Fuzzy logic MPPT inverter controller have a good potentiality for WECS in sustainable grid application. © 2019, International Journal of Renewable Energy Research. 2020-02-03T03:30:29Z 2020-02-03T03:30:29Z 2019 Article http://dspace.uniten.edu.my/jspui/handle/123456789/13116 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description The wind energy source as an alternative to conventional sources to generate power has been increasingly popular due to abundant in nature and pollution free. The wind energy sources are undepletable, however, they are not able to generate as much electricity due to their intermittent nature. Therefore, a wind energy conversion system (WECS) with accurate maximum power point tracking (MPPT) inverter controller is essential in order to improve the wind energy capturing capability. This paper aims to develop an optimal Fuzzy logic MPPT inverter controller for grid connected wind turbine so that the energy capturing efficiency of the system can be maximized. In this research work, the MPPT inverter controller is designed on the basis of hill climb search method, fuzzy logic control and heuristic particle swarm optimization (PSO) algorithm. The performance of WECS is demonstrated with the generated output voltage, current and power waveforms, DC link voltage waveform, and the generator speed. According to the results obtained for both normal Fuzzy logic MPPT control and optimized Fuzzy logic MPPT control WECS, the performance of PSO optimized Fuzzy logic MPPT inverter controller has better maximum power point performance and efficiency in tracking wind energy in terms of much smooth, less distortion and fewer fluctuation outcomes at the various step wind speed conditions. The proposed optimal Fuzzy logic MPPT inverter controller have a good potentiality for WECS in sustainable grid application. © 2019, International Journal of Renewable Energy Research.
format Article
author Parvin, K.
Kit, Y.K.
Jern, K.P.
Hoque, M.M.
Hannan, M.A.
spellingShingle Parvin, K.
Kit, Y.K.
Jern, K.P.
Hoque, M.M.
Hannan, M.A.
Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
author_facet Parvin, K.
Kit, Y.K.
Jern, K.P.
Hoque, M.M.
Hannan, M.A.
author_sort Parvin, K.
title Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
title_short Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
title_full Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
title_fullStr Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
title_full_unstemmed Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine
title_sort particle swarm optimization based fuzzy logic mppt inverter controller for grid connected wind turbine
publishDate 2020
url http://dspace.uniten.edu.my/jspui/handle/123456789/13116
_version_ 1678595892753465344
score 13.211869

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