(2015) Modal analysis of a PMSG-based DC electrical power system in the more electric aircraft using eigenvalues sensitivity. IEEE Transactions on Transportation Electrification, 1 (1). pp. 65-76. ISSN 2332-7782 Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/32744/1/Modal%20Analysis%20of%20a%20PMSG-Based %20DC%20Electrical%20Power%20System%20in%20the%20More%20Electric %20Aircraft.pdf
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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk 1 Abstract-This paper deals with the modeling and small signal stability analysis of a DC-distribution electrical power system (EPS) sourced by a permanent magnet synchronous generator (PMSG). The topology employed here is one of the main candidates for future more-electric aircraft (MEA). A detailed mathematical model is developed and comprehensive EPS modal analysis is performed. Eigenvalue sensitivity and participation factor are utilized in order to assess the effect of machine and control parameters, as well as system operating conditions, on EPS stability. Furthermore, this paper also presents comparative analysis of system models with and without the inclusion of system cabling. This crucial analysis shows that the tendencies in stability behavior can be significantly different with and without cabling. It is therefore shown that system simplification, by removal of cabling, can deliver remarkably misleading results. Time domain simulations are carried out to support the theoretical analysis. The comprehensive analysis presented in this paper provides EPS designers with an extremely useful methodology for the selection of appropriate EPS parameters at the early design stages.Index Terms-Modal analysis, stability, eigenvalue sensitivity, more electric aircraft, DC power distribution.