Sensorless control of doubly-fed induction generators in variable-speed wind turbine systems

Mohamed Abdelrahem, Christoph Hackl, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

50 Scopus citations

Abstract

This paper proposes a sensorless control strategy for doubly-fed induction generators (DFIGs) in variablespeed wind turbine systems (WTS). The proposed scheme uses an extended Kalman filter (EKF) for estimation of rotor speed and rotor position. Moreover, the EKF is used to estimate the mechanical torque of the generator to allow for maximum power point tracking control for wind speeds below the nominal wind speed. For EKF design, the nonlinear state space model of the DFIG is derived. The estimation and control performance of the proposed sensorless control method are illustrated by simulation results at low, high, and close to the synchronous speed. The designed EKF is robust to machine parameter variations within reasonable limits. Finally, the performances of the EKF and a model reference adaptive system (MRAS) observer are compared for time-varying wind speeds.

Original languageEnglish
Title of host publication5th International Conference on Clean Electrical Power
Subtitle of host publicationRenewable Energy Resources Impact, ICCEP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages406-413
Number of pages8
ISBN (Electronic)9781479987047
DOIs
StatePublished - 4 Aug 2015
Event5th International Conference on Clean Electrical Power, ICCEP 2015 - Taormina, Italy
Duration: 16 Jun 201518 Jun 2015

Publication series

Name5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015

Conference

Conference5th International Conference on Clean Electrical Power, ICCEP 2015
Country/TerritoryItaly
CityTaormina
Period16/06/1518/06/15

Keywords

  • DFIG
  • Kalman filter
  • MPPT
  • MRAS observer

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