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dc.contributor.authorBradde, Tommaso
dc.contributor.authorChevalier, Samuel
dc.contributor.authorDe Stefano, Marco
dc.contributor.authorGrivet-Talocia, Stefano
dc.contributor.authorDaniel, Luca
dc.date.accessioned2021-06-15T19:22:34Z
dc.date.available2021-06-15T19:22:34Z
dc.date.issued2021-04
dc.date.submitted2021-04
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/1721.1/130946
dc.description.abstractThis paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.en_US
dc.language.isoen
dc.publisherMDPI AGen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/en14092471en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMDPIen_US
dc.titleHandling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamicsen_US
dc.typeArticleen_US
dc.identifier.citationBradde, Tommaso et al. "Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics." Energies 14, 9 (April 2021): 2471. © 2021 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalEnergiesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-06-11T13:50:31Z
dspace.orderedauthorsBradde, T; Chevalier, S; De Stefano, M; Grivet-Talocia, S; Daniel, Len_US
dspace.date.submission2021-06-11T13:50:32Z
mit.journal.volume14en_US
mit.journal.issue9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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