PID controller design for DFIG-based wind turbine via reptile search algorithm

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dc.contributor.authorİzci, Davut
dc.contributor.authorEkinci, Serdar
dc.contributor.authorBudak, Cafer
dc.contributor.authorGider, Veysel
dc.contributor.orcid0000-0001-8359-0875
dc.date.accessioned2024-04-24T17:56:25Z
dc.date.available2024-04-24T17:56:25Z
dc.date.issued2022
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionBatman University and Batman Energy Coordination Center (EKOM)en_US
dc.description2022 IEEE Global Energy Conference, GEC 2022 -- 26 October 2022 through 29 October 2022 -- -- 185674en_US
dc.description.abstractThis paper presents a new design procedure for a doubly fed induction generator (DFIG) based wind energy conversion (WEC) system in a wind turbine (WT) using a proportional-integral-derivative (PID) controller and a recent metaheuristic approach known as reptile search algorithm (RSA). As the control scheme has a significant role on the efficiency and reliability of DFIG-based WEC system, we aim to propose the RSA tuned PID controller as the most efficient approach to operate this system. To demonstrate the efficiency and reliability of the proposed design method, previously reported design schemes such as gravitational search algorithm, bacterial foraging optimization and particle swarm optimization based PID controller approaches were used for comparisons. The obtained results showed that the proposed reptile search algorithm tuned PID controller with 6th order transfer function model of doubly fed induction generator enhances the transient performance considerably compared to other reported design approaches for wind energy conversion system. © 2022 IEEE.en_US
dc.identifier.citationİzci, D., Ekinci, S., Budak, C. ve Gider, V. (2022). PID controller design for DFIG-based wind turbine via reptile search algorithm. IEEE Global Energy Conference, GEC 2022, 154-158.
dc.identifier.doi10.1109/GEC55014.2022.9986617
dc.identifier.endpage158en_US
dc.identifier.isbn9781665497510
dc.identifier.scopus2-s2.0-85146487989
dc.identifier.scopusqualityN/A
dc.identifier.startpage154en_US
dc.identifier.urihttps://doi.org/10.1109/GEC55014.2022.9986617
dc.identifier.urihttps://hdl.handle.net/11468/23500
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Global Energy Conference, GEC 2022
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDoubly-Fed induction generatoren_US
dc.subjectPıd controlleren_US
dc.subjectReptile search algorithmen_US
dc.subjectWind turbineen_US
dc.titlePID controller design for DFIG-based wind turbine via reptile search algorithmen_US
dc.titlePID controller design for DFIG-based wind turbine via reptile search algorithm
dc.typeConference Objecten_US

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