Pitch based wind turbine intelligent speed setpoint adjustment algorithms

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dc.contributor.authorGonzález-González, Asier
dc.contributor.authorEtxeberria-Agiriano, Ismael
dc.contributor.authorZulueta, Ekaitz
dc.contributor.authorOterino-Echavarri, Fernando
dc.contributor.authorLopez-Guede, Jose Manuel
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T11:59:27Z
dc.date.available2024-07-24T11:59:27Z
dc.date.issued2014-06
dc.description.abstractThis work is aimed at optimizing the wind turbine rotor speed setpoint algorithm. Several intelligent adjustment strategies have been investigated in order to improve a reward function that takes into account the power captured from the wind and the turbine speed error. After different approaches including Reinforcement Learning, the best results were obtained using a Particle Swarm Optimization (PSO)-based wind turbine speed setpoint algorithm. A reward improvement of up to 10.67% has been achieved using PSO compared to a constant approach and 0.48% compared to a conventional approach. We conclude that the pitch angle is the most adequate input variable for the turbine speed setpoint algorithm compared to others such as rotor speed, or rotor angular acceleration.en
dc.description.statusPeer reviewed
dc.format.extent17
dc.identifier.citationGonzález-González , A , Etxeberria-Agiriano , I , Zulueta , E , Oterino-Echavarri , F & Lopez-Guede , J M 2014 , ' Pitch based wind turbine intelligent speed setpoint adjustment algorithms ' , Energies , vol. 7 , no. 6 , pp. 3793-3809 . https://doi.org/10.3390/en7063793
dc.identifier.doi10.3390/en7063793
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11556/2945
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84903741152&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofEnergies
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsPSO
dc.subject.keywordsPitch
dc.subject.keywordsReinforcement learning
dc.subject.keywordsSetpoint
dc.subject.keywordsWind turbines
dc.subject.keywordsRenewable Energy, Sustainability and the Environment
dc.subject.keywordsFuel Technology
dc.subject.keywordsEnergy Engineering and Power Technology
dc.subject.keywordsEnergy (miscellaneous)
dc.subject.keywordsControl and Optimization
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.titlePitch based wind turbine intelligent speed setpoint adjustment algorithmsen
dc.typejournal article
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