dc.contributor.author | Unamuno, Eneko | |
dc.contributor.author | Suul, Jon Are Wold | |
dc.contributor.author | Molinas Cabrera, Maria Marta | |
dc.contributor.author | Barrena, Jon Andoni | |
dc.date.accessioned | 2020-02-10T14:19:00Z | |
dc.date.available | 2020-02-10T14:19:00Z | |
dc.date.created | 2019-11-28T10:18:35Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-4878-6 | |
dc.identifier.uri | http://hdl.handle.net/11250/2640823 | |
dc.description.abstract | This paper presents a comparative eigenvalue analysis of the stability characteristics and small signal dynamics of four different control strategies for Synchronous Machine Emulation (SME) by power electronic converters, considering a Synchronous Machine (SM) as the benchmark system. The four SME techniques are selected to represent the most established general approaches for emulating the inertial characteristics of SMs in the control of power electronic converters. The smallsignal stability assessment is based on the analysis of system eigenvalues, including evaluation of participation factors and parametric sensitivities. All the investigated techniques can be tuned to obtain similar inertial dynamics under grid frequency variations, but exhibit differences in other small-signal characteristics due to the distinct control system implementations. Among the analyzed cases, the current-controlled virtual synchronous machine has the highest damping of the most oscillatory mode. However, the study shows that the most oscillatory modes of the other techniques are associated with the LCL impedance, and could be further attenuated by active damping techniques. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | Proceeding 45th Annual Conference of the IEEE Industrial Electronics Society - IECON 2019 | |
dc.title | Comparative Eigenvalue Analysis of Synchronous Machine Emulations and Synchronous Machines | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.doi | https://doi.org/10.1109/IECON.2019.8927826 | |
dc.identifier.cristin | 1753557 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |