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GA optimized fractional controller for a wind turbine ride through pitch malfunction

2020-11-27Conference object Restricted access
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dc.contributor.authorPandiyan, Surya
dc.contributor.authorValério, Duarte
dc.contributor.authorMelicio, Rui
dc.contributor.authorMendes, Victor
dc.date.accessioned2021-06-22T15:34:03Z
dc.date.available2021-06-22T15:34:03Z
dc.date.issued2020-11-27
dc.description.abstractThis paper is about better integration of wind energy into an electric grid, avoiding wind turbine pitch malfunction to become a failure. A fractional-order controller is used in the two-level converters of the wind turbine to reduce the voltage drops during the malfunction. The reduction is attained by an optimization problem for selection of the parameters of the fractional-order control. The optimization problem is a non-convex one, solved by a genetic algorithm together with a model of the wind turbine pitch malfunction. Kriging metamodeling is used to assist in output prediction due its lower computational requirements and its ability to provide a value for the uncertainty of the estimate. A comparison between the Kriging metamodeling and the complete model is presented and conclusions are stated to show the advantage of the Kriging metamodeling.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPANDIYAN, Surya; [et al] – GA optimized fractional controller for a wind turbine ride through pitch malfunction. In2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). : Prague, Czech Republic: IEEE, 2020. ISBN 978-1-7281-5953-9. Pp. 42-47pt_PT
dc.identifier.doi10.1109/CoDIT49905.2020.9263799pt_PT
dc.identifier.eissn2576-3555
dc.identifier.isbn978-1-7281-5953-9
dc.identifier.isbn978-1-7281-5952-2
dc.identifier.isbn978-1-7281-5954-6
dc.identifier.issn2576-3547
dc.identifier.urihttp://hdl.handle.net/10400.21/13464
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationUID/GEO/04683/2019 - FCTpt_PT
dc.relationUIDB/50022/2020 - FCT, through IDMEC, under LAETApt_PT
dc.relationUID/EMS/00151/2019 - FCTpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9263799pt_PT
dc.subjectWind energypt_PT
dc.subjectElectric gridpt_PT
dc.subjectWind turbine pitch malfunctionpt_PT
dc.subjectKriging metamodelingpt_PT
dc.titleGA optimized fractional controller for a wind turbine ride through pitch malfunctionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace29 June-2 July 2020 - Prague, Czech Republicpt_PT
oaire.citation.endPage47pt_PT
oaire.citation.startPage42pt_PT
oaire.citation.title2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)pt_PT
person.familyNameValério
person.familyNameMelicio
person.familyNameMendes
person.givenNameDuarte
person.givenNameRui
person.givenNameVictor
person.identifier.ciencia-idCE15-E79C-E7AF
person.identifier.ciencia-idA213-8E2D-0102
person.identifier.orcid0000-0001-9388-4308
person.identifier.orcid0000-0002-1081-2729
person.identifier.orcid0000-0002-4599-477X
person.identifier.ridC-9339-2012
person.identifier.ridM-4593-2013
person.identifier.ridD-2332-2012
person.identifier.scopus-author-id23010662200
person.identifier.scopus-author-id20436053900
person.identifier.scopus-author-id55138675600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication1a484ea2-638a-420d-86a2-21de8217fa4c
relation.isAuthorOfPublication363aa31a-c2e2-48ef-a2ef-2517bf6b573d
relation.isAuthorOfPublicationa86b9291-f23c-4f09-83d7-9ee691696705
relation.isAuthorOfPublication.latestForDiscoverya86b9291-f23c-4f09-83d7-9ee691696705

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