Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Jaroslav Koupeny
  • Martin Siebrecht
  • Stefan Lücke
  • Axel Mertens
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Details

OriginalspracheEnglisch
Titel des SammelwerksInternational ETG Congress 2015; Die Energiewende
UntertitelBlueprints for the New Energy Age
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9783800741212
PublikationsstatusVeröffentlicht - 2015
Veranstaltung2015 International ETG Congress on Die Energiewende - Blueprints for the New Energy Age - Bonn, Deutschland
Dauer: 17 Nov. 201518 Nov. 2015

Publikationsreihe

NameInternational ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age

Abstract

This paper deals with the online parameter estimation of doubly fed induction generators (DFIG) using the Gradient Descent Method (GDM) and one flux observer for each winding system. Stator resistance, rotor resistance and mutual inductance can be estimated simultaneously in real time. The presented approach is applicable for standard variable speed DFIG with an inverter at the rotor side including a stator and rotor current measurement, a stator voltage detection and a rotor position feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by simulation and experiments. Furthermore, the influences of secondary effects like the nonlinear behavior of the inverter, incorrectly assumed leakage inductances and iron losses are discussed.

ASJC Scopus Sachgebiete

Zitieren

Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method. / Koupeny, Jaroslav; Siebrecht, Martin; Lücke, Stefan et al.
International ETG Congress 2015; Die Energiewende : Blueprints for the New Energy Age. Institute of Electrical and Electronics Engineers Inc., 2015. 7388510 (International ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Koupeny, J, Siebrecht, M, Lücke, S & Mertens, A 2015, Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method. in International ETG Congress 2015; Die Energiewende : Blueprints for the New Energy Age., 7388510, International ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age, Institute of Electrical and Electronics Engineers Inc., 2015 International ETG Congress on Die Energiewende - Blueprints for the New Energy Age, Bonn, Deutschland, 17 Nov. 2015.
Koupeny, J., Siebrecht, M., Lücke, S., & Mertens, A. (2015). Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method. In International ETG Congress 2015; Die Energiewende : Blueprints for the New Energy Age Artikel 7388510 (International ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age). Institute of Electrical and Electronics Engineers Inc..
Koupeny J, Siebrecht M, Lücke S, Mertens A. Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method. in International ETG Congress 2015; Die Energiewende : Blueprints for the New Energy Age. Institute of Electrical and Electronics Engineers Inc. 2015. 7388510. (International ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age).
Koupeny, Jaroslav ; Siebrecht, Martin ; Lücke, Stefan et al. / Observer-based online parameter estimation of doubly fed induction generators based on the gradient descent method. International ETG Congress 2015; Die Energiewende : Blueprints for the New Energy Age. Institute of Electrical and Electronics Engineers Inc., 2015. (International ETG Congress 2015; Die Energiewende - Blueprints for the New Energy Age).
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abstract = "This paper deals with the online parameter estimation of doubly fed induction generators (DFIG) using the Gradient Descent Method (GDM) and one flux observer for each winding system. Stator resistance, rotor resistance and mutual inductance can be estimated simultaneously in real time. The presented approach is applicable for standard variable speed DFIG with an inverter at the rotor side including a stator and rotor current measurement, a stator voltage detection and a rotor position feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by simulation and experiments. Furthermore, the influences of secondary effects like the nonlinear behavior of the inverter, incorrectly assumed leakage inductances and iron losses are discussed.",
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AU - Mertens, Axel

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