Speed Control of Wind Turbine Rotor Using Genetic Algorithm

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dc.contributor.authorÖztürk, Ali
dc.contributor.authorTosun, Salih
dc.contributor.authorAlkan, Selman
dc.contributor.authorAvcı, Emre
dc.contributor.authorBilir, Rıfat
dc.date.accessioned2020-04-30T23:32:10Z
dc.date.available2020-04-30T23:32:10Z
dc.date.issued2015
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEYen_US
dc.descriptionWOS: 000380410800147en_US
dc.description.abstractIn wind farms, rotor speed control of generator is essential to generate appropriate electric energy. In this study, squirrel cage induction generator (SCIG) is used and its rotor speed is controlled with Genetic Proportional-Integral (GPI) method. Determination of PI coefficients providing SCIG to operate reference rotor speed promptly is obtained with Genetic Algorithm (GA) known as an optimization method. In addition, sensorless control of rotor speed is carried out with field oriented control (FOC). To do this purpose, the transfer function of rotor speed control of induction machine is created and employed in simulation model. Used in this control, PI coefficients, firstly, are obtained with a classical method called Ziegler-Nichols Method (ZNM) and then is obtained with GA. Wind turbine (WT) model created with Matlab/Simulink are used to operate the system simulation for these different methods which determine the PI coefficients. The system simulation of the results for ZNM and GA are compared. It is clearly seen that the results which are operated with PI coefficients calculated by GA is better than the others in the respect of reaching time to reference speed and determination.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch, Istanbul Techn Univ, Fac Elect & Elect Engn, Uludag Univ, Dept Elect & Elect Engn, IEEE, Reg 8, IEEE Turkey Sect, CAS Chapter, Sci & Technol Res Council Turkeyen_US
dc.identifier.endpage826en_US
dc.identifier.startpage822en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4631
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 9Th International Conference On Electrical And Electronics Engineering (Eleco)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleSpeed Control of Wind Turbine Rotor Using Genetic Algorithmen_US
dc.typeConference Objecten_US

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