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dc.contributor.authorVetoshkin L.
dc.contributor.authorMüller Z.
dc.date.accessioned2021-01-11T08:10:51Z
dc.date.available2021-01-11T08:10:51Z
dc.date.issued2020
dc.identifierV3S-345618
dc.identifier.citationVETOSHKIN, L. and Z. MÜLLER. A supervisory MPC for synchronverter. In: MÜLLER, Z. and M. MÜLLER, eds. 2020 21st International Scientific Conference on Electric Power Engineering (EPE). Prague, 2020-10-19/2020-10-21. Prague: Czechoslovakia Section IEEE, 2020. ISBN 978-1-7281-9479-0. DOI 10.1109/EPE51172.2020.9269232. Available from: https://ieeexplore.ieee.org/document/9269232
dc.identifier.isbn978-1-7281-9480-6 (print)
dc.identifier.isbn978-1-7281-9479-0 (online)
dc.identifier.issn2376-5623 (print)
dc.identifier.issn2376-5631 (online)
dc.identifier.urihttp://hdl.handle.net/10467/92519
dc.description.abstractThe adoption of renewable energy sources leads to lower grid inertia, which brings more complications to operators of electrical grids. New control strategies for power electronics try to cope with that problem by introducing virtual inertia. Sychronverter is one of the promising algorithms. Furthermore, other control techniques combined with synchronverter might improve stability. Model predictive control (MPC) has proven to be a good tool in real applications. Therefore, the authors present a simplified mathematical model of a PV power plant with a synchronverter. The paper also proves that the presented model can be applied to MPC for synchronverter. Depending on the stated objective, MPC for synchronverter can bring different advantages to the control of grid converters.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherCzechoslovakia Section IEEE
dc.relation.ispartof2020 21st International Scientific Conference on Electric Power Engineering (EPE)
dc.subjectMathematical modeleng
dc.subjectInverterseng
dc.subjectVirtual Inertiaeng
dc.subjectSynchronvertereng
dc.titleA supervisory MPC for synchronvertereng
dc.typestať ve sborníkucze
dc.typeconference papereng
dc.identifier.doi10.1109/EPE51172.2020.9269232
dc.rights.accessclosedAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion
dc.identifier.scopus2-s2.0-85098637834
dc.relation.conference2020 21st International Scientific Conference on Electric Power Engineering (EPE)


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