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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

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

Original languageEnglish
Title of host publicationInternational ETG Congress 2015; Die Energiewende
Subtitle of host publicationBlueprints for the New Energy Age
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)9783800741212
Publication statusPublished - 2015
Event2015 International ETG Congress on Die Energiewende - Blueprints for the New Energy Age - Bonn, Germany
Duration: 17 Nov 201518 Nov 2015

Publication series

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 subject areas

Cite this

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).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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, Germany, 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 Article 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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AU - Mertens, Axel

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AB - 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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