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Black widow optimization-based optimal PI-controlled wind turbine emulator

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dc.citedby12
dc.contributor.authorPremkumar K.en_US
dc.contributor.authorVishnupriya M.en_US
dc.contributor.authorBabu T.S.en_US
dc.contributor.authorManikandan B.V.en_US
dc.contributor.authorThamizhselvan T.en_US
dc.contributor.authorAli A.N.en_US
dc.contributor.authorIslam M.R.en_US
dc.contributor.authorKouzani A.Z.en_US
dc.contributor.authorParvez Mahmud M.A.en_US
dc.contributor.authorid57201026778en_US
dc.contributor.authorid57211598694en_US
dc.contributor.authorid56267551500en_US
dc.contributor.authorid57209726777en_US
dc.contributor.authorid55348384500en_US
dc.contributor.authorid56196401100en_US
dc.contributor.authorid55765000567en_US
dc.contributor.authorid7003695829en_US
dc.contributor.authorid57205396841en_US
dc.date.accessioned2023-05-29T08:06:43Z
dc.date.available2023-05-29T08:06:43Z
dc.date.issued2020
dc.description.abstractIn this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system. � 2020 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo10357
dc.identifier.doi10.3390/su122410357
dc.identifier.epage19
dc.identifier.issue24
dc.identifier.scopus2-s2.0-85098487461
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098487461&doi=10.3390%2fsu122410357&partnerID=40&md5=d44b8e1522ef7d78a6e46d79a5ae4cb0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25085
dc.identifier.volume12
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleSustainability (Switzerland)
dc.titleBlack widow optimization-based optimal PI-controlled wind turbine emulatoren_US
dc.typeArticleen_US
dspace.entity.typePublication
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