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dc.contributor.authorGregory Baltas, Nicholas
dc.contributor.authorLai, Ngoc Bao
dc.contributor.authorMarin, Leonardo
dc.contributor.authorTarraso Martínez, Andrés
dc.contributor.authorRodríguez Cortés, Pedro
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Sistemes d'Energia Elèctrica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.date.accessioned2020-09-04T09:25:24Z
dc.date.available2020-09-04T09:25:24Z
dc.date.issued2020-05-18
dc.identifier.citationGregory Baltas, N. [et al.]. Grid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids. "IEEE access", 18 Maig 2020, vol. 8, p. 93369-93379.
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2117/328391
dc.description.abstractThe integration of non-synchronous generation units and energy storage through power electronics is introducing new challenges in power system dynamics. Specifically, the rotor angle stability has been identified as one of the major obstacle with regards to power electronics dominated power systems. To date, conventional power system stabilizer (PSS) devices are used for damping electromechanical oscillations, which are only tuned sporadically leading to significant deterioration in performance against the ever-changing operating conditions. In this paper, an intelligent power oscillation damper (iPOD) is proposed for grid-forming converters to attenuate electromechanical inter-area power oscillation. In particular, the iPOD is applied to a synchronous power controller (SPC) based grid-forming power converter to increases gain of the active power control loop at the oscillatory frequency. Predictions regarding the mode frequency, corresponding to the current operating points, are given by an artificial intelligence ensemble model called Random Forests. The performance of the proposed controller is verified using the two area system considering symmetrical fault for random operating points. In addition, a comparison with PSS installed in each generator reveals the individual contribution with respect to the inter-area mode damping.
dc.description.sponsorshipThis work was supported in part by the European Commission under Project FLEXITRANSTORE—-H2020-LCE-2016-2017-SGS774407, and in part by the Spanish Ministry of Science under Project ENE2017-88889-C2-1-R.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Electrònica de potència
dc.subject.lcshPower electronics
dc.subject.lcshArtificial intelligence
dc.subject.otherArtificial intelligence
dc.subject.otherEnsemble modelling
dc.subject.otherInter-area power oscillation
dc.subject.otherRandom forests
dc.subject.otherSynchronous power controller
dc.titleGrid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids
dc.typeArticle
dc.subject.lemacElectrònica de potència
dc.subject.lemacIntel·ligència artificial
dc.contributor.groupUniversitat Politècnica de Catalunya. SEER - Sistemes Elèctrics d'Energia Renovable
dc.identifier.doi10.1109/ACCESS.2020.2995298
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9094654
dc.rights.accessOpen Access
local.identifier.drac29162371
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ENE2017-88889-C2-1-R/ES/NODOS INTELIGENTES CON ALMACENAMIENTO DE ENERGIA PARA FLEXIBILIZAR LA OPERACION DE SISTEMAS DE DISTRIBUCION/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/774407/EU/An Integrated Platform for Incresed FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources/FLEXITRANSTORE
local.citation.authorGregory Baltas, N.; Lai, N.; Marin, L.; Tarraso, A.; Rodríguez , P.
local.citation.publicationNameIEEE access
local.citation.volume8
local.citation.startingPage93369
local.citation.endingPage93379


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