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

Computer circuits; Controllers; Electric power system control; Electric power transmission networks; Energy conversion; Heuristic methods; Maximum power point trackers; Particle swarm optimization (PSO); Wind; Wind power; Wind turbines; Fuzzy logic control; Grid-connected; Hill climb search; Inverte...

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Main Authors: Parvin K., Kit Y.K., Jern K.P., Hoque M.M., Hannan M.A.
Other Authors: 57203309143
Format: Article
Published: International Journal of Renewable Energy Research 2023
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spelling my.uniten.dspace-247462023-05-29T15:26:35Z 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. 57203309143 57211168394 37461740800 56583590200 7103014445 Computer circuits; Controllers; Electric power system control; Electric power transmission networks; Energy conversion; Heuristic methods; Maximum power point trackers; Particle swarm optimization (PSO); Wind; Wind power; Wind turbines; Fuzzy logic control; Grid-connected; Hill climb search; Inverte; Maximum Power Point Tracking; Particle swarm; Particle swarm optimization; Swarm optimization; Wind energy conversion; Fuzzy logic 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. Final 2023-05-29T07:26:35Z 2023-05-29T07:26:35Z 2019 Article 2-s2.0-85071018869 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071018869&partnerID=40&md5=ea20ee0dca343771f7b3511ad44c7f40 https://irepository.uniten.edu.my/handle/123456789/24746 9 1 164 174 International Journal of Renewable Energy Research Scopus
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/
description Computer circuits; Controllers; Electric power system control; Electric power transmission networks; Energy conversion; Heuristic methods; Maximum power point trackers; Particle swarm optimization (PSO); Wind; Wind power; Wind turbines; Fuzzy logic control; Grid-connected; Hill climb search; Inverte; Maximum Power Point Tracking; Particle swarm; Particle swarm optimization; Swarm optimization; Wind energy conversion; Fuzzy logic
author2 57203309143
author_facet 57203309143
Parvin K.
Kit Y.K.
Jern K.P.
Hoque M.M.
Hannan M.A.
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_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
publisher International Journal of Renewable Energy Research
publishDate 2023
_version_ 1806426211554951168
score 13.222552

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