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A Mode-Based Averaged Power Converter Model for Large Transients

Kastner, Adam 1; Gröll, Lutz 1; Hagenmeyer, Veit ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Power converters employ high-frequency switching between multiple switch states, each of which causes the system to exhibit a different dynamic behavior. Averaged models are a common simplification used for describing the behavior in one or two specific cycles of switch states, also called operating modes. In this context, we propose extending the method of Sun et al. (2001), which allows averaging in two operating modes, to a converter model with four operating modes. We show in simulations that our model results in a reasonable approximation of the true moving average of the original switching converter model during large transients that pass through multiple operating modes.


Verlagsausgabe §
DOI: 10.5445/IR/1000149516
Veröffentlicht am 06.12.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2405-8963
KITopen-ID: 1000149516
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in IFAC-PapersOnLine, 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Vienna Austria, 27–29 July 2022, Ed.: A. Kugi
Verlag International Federation of Automatic Control (IFAC)
Band 55
Heft 20
Seiten 367–372
Vorab online veröffentlicht am 23.09.2022
Schlagwörter power converters, switched systems, averaging, simulation
Nachgewiesen in Scopus
Dimensions
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