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Numerical modeling of HTS excited medium‐speed wind generators with diode rectifier stator feeding

Köster, Robin ; Binder, Andreas (2024)
Numerical modeling of HTS excited medium‐speed wind generators with diode rectifier stator feeding.
In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2024, 37 (5)
doi: 10.26083/tuprints-00028281
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

Medium‐speed wind generators in the MW‐range with high‐temperature superconducting excitation winding are analyzed by means of non‐linear 2D and 3D FEM models. Besides an inverter‐based sinusoidal stator current feeding, a grid connection via a diode rectifier is analyzed by using coupled FEM and circuit simulations. The newly proposed modeling techniques are used to determine the excitation requirement for speed‐variable, unity power factor operation at constant stator voltage, as required for a diode rectifier feeding of the stator winding. 2D FEM models in the H‐A‐formulation are developed and used for the calculation of the hysteresis loss in the superconducting field winding at stationary operation as well as for an investigation of field current variations in the HTS field winding. The major modeling challenges consist in very long settling times of voltage‐fed models, several strong model non‐linearities and high requirements on the spatial discretization. Approaches for overcoming these difficulties with reasonable computational efficiency are proposed.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Köster, Robin ; Binder, Andreas
Art des Eintrags: Zweitveröffentlichung
Titel: Numerical modeling of HTS excited medium‐speed wind generators with diode rectifier stator feeding
Sprache: Englisch
Publikationsjahr: 18 November 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 26 August 2024
Ort der Erstveröffentlichung: Chichester
Verlag: Wiley
Titel der Zeitschrift, Zeitung oder Schriftenreihe: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Jahrgang/Volume einer Zeitschrift: 37
(Heft-)Nummer: 5
Kollation: 18 Seiten
DOI: 10.26083/tuprints-00028281
URL / URN: https://tuprints.ulb.tu-darmstadt.de/28281
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

Medium‐speed wind generators in the MW‐range with high‐temperature superconducting excitation winding are analyzed by means of non‐linear 2D and 3D FEM models. Besides an inverter‐based sinusoidal stator current feeding, a grid connection via a diode rectifier is analyzed by using coupled FEM and circuit simulations. The newly proposed modeling techniques are used to determine the excitation requirement for speed‐variable, unity power factor operation at constant stator voltage, as required for a diode rectifier feeding of the stator winding. 2D FEM models in the H‐A‐formulation are developed and used for the calculation of the hysteresis loss in the superconducting field winding at stationary operation as well as for an investigation of field current variations in the HTS field winding. The major modeling challenges consist in very long settling times of voltage‐fed models, several strong model non‐linearities and high requirements on the spatial discretization. Approaches for overcoming these difficulties with reasonable computational efficiency are proposed.

Freie Schlagworte: coupled simulations, electrical machine, finite element simulation, high‐temperature superconductor, wind generator
ID-Nummer: Artikel-ID: e3284
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-282812
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiewandlung > Elektrische Energiewandlung
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiewandlung
Hinterlegungsdatum: 18 Nov 2024 12:19
Letzte Änderung: 28 Nov 2024 12:08
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