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

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dc.citedby9
dc.contributor.authorParvin K.en_US
dc.contributor.authorKit Y.K.en_US
dc.contributor.authorJern K.P.en_US
dc.contributor.authorHoque M.M.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid57203309143en_US
dc.contributor.authorid57211168394en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid56583590200en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2023-05-29T07:26:35Z
dc.date.available2023-05-29T07:26:35Z
dc.date.issued2019
dc.descriptionComputer 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 logicen_US
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.epage174
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85071018869
dc.identifier.spage164
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071018869&partnerID=40&md5=ea20ee0dca343771f7b3511ad44c7f40
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24746
dc.identifier.volume9
dc.publisherInternational Journal of Renewable Energy Researchen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Renewable Energy Research
dc.titleParticle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbineen_US
dc.typeArticleen_US
dspace.entity.typePublication
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