A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation

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dc.contributor.authorCivelek Z.
dc.contributor.authorLüy M.
dc.contributor.authorÇam E.
dc.contributor.authorMamur H.
dc.date.accessioned2024-07-22T08:11:20Z
dc.date.available2024-07-22T08:11:20Z
dc.date.issued2017
dc.description.abstractIn the world, efforts to increase the resource diversity in electric generation have accelerated lately. So, the great improvements have been achieved in wind turbines (WTs). The dimensions of WTs have grown for more electric generation and their energy productions have increased. Depending on these developments, it has become more important to reduce the WT load mitigation. Thus, a tendency to pass an individual pitch angle system control rather than a collective pitch angle system control employed to stable the output power of WTs over nominal wind speeds has whetted in recent studies. However, in literature, a controller proposal relating to how to incorporate the blade moments used for providing the individual pitch angle system into the output power control system has not yet been offered. Therefore, in this study, a new fuzzy logic proportional control (FL-P-C) approach has been recommended to mitigate the moment load on blades and tower to a minimum possible value while keeping the output power of WTs at a constant value. The offered FL-P-C has also been verified by MATLAB/Simulink. Through the first application of the FL-P-C on a WT, a significant improvement of 33–83% has been managed for the blade and tower moment loads. Furthermore, the grid fluctuations have been reduced because of the stabilisation of the output power of the WT. Ultimately, by the offered FL-P-C, not only the WT load mitigations and maintenance costs of WTs could be reduced, but also electric costs could be decreased owing to increasing lifetimes of WTs. © 2017 Elsevier Ltd
dc.identifier.DOI-ID10.1016/j.renene.2017.04.064
dc.identifier.issn09601481
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/15615
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectComputer circuits
dc.subjectControllers
dc.subjectFuzzy logic
dc.subjectWind turbines
dc.subjectBlade loads
dc.subjectElectric generation
dc.subjectEnergy
dc.subjectIndividual pitch control
dc.subjectProportional control
dc.subjectProportional controller
dc.subjectResource diversity
dc.subjectWind turbine loads
dc.subjectcontrol system
dc.subjectelectricity generation
dc.subjectenergy efficiency
dc.subjectenergy resource
dc.subjectfuzzy mathematics
dc.subjectwind turbine
dc.subjectwind velocity
dc.subjectPower control
dc.titleA new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation
dc.typeArticle

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