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Grid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids
dc.contributor.author | Gregory Baltas, Nicholas |
dc.contributor.author | Lai, Ngoc Bao |
dc.contributor.author | Marin, Leonardo |
dc.contributor.author | Tarraso Martínez, Andrés |
dc.contributor.author | Rodríguez Cortés, Pedro |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Sistemes d'Energia Elèctrica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica |
dc.date.accessioned | 2020-09-04T09:25:24Z |
dc.date.available | 2020-09-04T09:25:24Z |
dc.date.issued | 2020-05-18 |
dc.identifier.citation | Gregory 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.issn | 2169-3536 |
dc.identifier.uri | http://hdl.handle.net/2117/328391 |
dc.description.abstract | The 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.sponsorship | This 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.extent | 11 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica::Electrònica de potència |
dc.subject.lcsh | Power electronics |
dc.subject.lcsh | Artificial intelligence |
dc.subject.other | Artificial intelligence |
dc.subject.other | Ensemble modelling |
dc.subject.other | Inter-area power oscillation |
dc.subject.other | Random forests |
dc.subject.other | Synchronous power controller |
dc.title | Grid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids |
dc.type | Article |
dc.subject.lemac | Electrònica de potència |
dc.subject.lemac | Intel·ligència artificial |
dc.contributor.group | Universitat Politècnica de Catalunya. SEER - Sistemes Elèctrics d'Energia Renovable |
dc.identifier.doi | 10.1109/ACCESS.2020.2995298 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9094654 |
dc.rights.access | Open Access |
local.identifier.drac | 29162371 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info: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.projectid | info: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.author | Gregory Baltas, N.; Lai, N.; Marin, L.; Tarraso, A.; Rodríguez , P. |
local.citation.publicationName | IEEE access |
local.citation.volume | 8 |
local.citation.startingPage | 93369 |
local.citation.endingPage | 93379 |
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