Publication:
Optimization of PI Controller Using Ant Colony Algorithm for Wind Turbine System

dc.contributor.authorJaikhang W.
dc.contributor.authorChanjira P.
dc.contributor.correspondenceJaikhang W.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2025-05-28T07:55:52Z
dc.date.issued2024-01-01
dc.date.issuedBE2567-01-01
dc.description.abstractThe classical PI controller is applied for wind turbine, however it is the more concrete and specific algorithm. An ant colony optimization (ACO) is one of a modern metaheuristic for optimal tuning the gain of the controller. This paper designs and investigates the wind turbine system which is connected to grid system through the boot converter circuit driven by permanent magnet synchronous generator (PMSG) By regulating PI controller, ACO is used to optimize the gains. The simulation results show that an overshoot and lifetime of design is less. As a results, ACO method is able to optimize the gain of PI controller to regulate the active power and reactive power for booting up the high DC voltage of the wind turbine for grid connected, effectively.
dc.identifier.citationPrzeglad Elektrotechniczny No.10 (2024) , 64-68
dc.identifier.doi10.15199/48.2024.10.11
dc.identifier.eissn24499544
dc.identifier.issn00332097
dc.identifier.scopus2-s2.0-85205361686
dc.identifier.urihttps://hdl.handle.net/20.500.14740/20528
dc.rights.holderSCOPUS
dc.subjectEngineering
dc.titleOptimization of PI Controller Using Ant Colony Algorithm for Wind Turbine System
dc.typeArticle
dspace.entity.typePublication
oaire.citation.endPage68
oaire.citation.issue10
oaire.citation.startPage64
oaire.citation.titlePrzeglad Elektrotechniczny
oairecerif.author.affiliationChiang Rai Rajabhat University
oairecerif.author.affiliationSrinakharinwirot University
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85205361686&origin=inward

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