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Sensorless Control of Late-Stage Offshore DFIG-WT with FSTP Converters by Using EKF to Ride through Hybrid Faults

Author

Listed:
  • Wei Li

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China)

  • Gengyin Li

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China)

  • Kai Ni

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

  • Yihua Hu

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

  • Xinhua Li

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

Abstract

A hybrid fault scenario in a late-stage offshore doubly-fed induction generator (DFIG)-based wind turbine (DFIG-WT) with converter open-circuit fault and position sensor failure is investigated in this paper. An extended Kalman filter (EKF)-based sensorless control strategy is utilized to eliminate the encoder. Based on the detailed analysis of the seventh-order dynamic state space model of DFIG, along with the input voltage signals and measured current signals, the EKF algorithm for DFIG is designed to estimate the rotor speed and position. In addition, the bridge arm open circuit in the back-to-back (BTB) power converter of DFIG is taken as a commonly-encountered fault due to the fragility of semiconductor switches. Four-switch three-phase (FSTP) topology-based fault-tolerant converters are employed for post-fault operation by considering the minimization of switching losses and reducing the circuit complexity. Moreover, a simplified space vector pulse width modulation (SVPWM) technique is proposed to reduce the computational burden, and a voltage balancing scheme is put forward to increase the DC-bus voltage utilization rate. Simulation studies are carried out in MATLAB/Simulink2017a (MathWorks, Natick, MA, USA) to demonstrate the validity of the proposed hybrid fault-tolerant strategy for DFIG-WT, with the wind speed fluctuation, measurement noises and grid voltage sag taken into consideration.

Suggested Citation

  • Wei Li & Gengyin Li & Kai Ni & Yihua Hu & Xinhua Li, 2017. "Sensorless Control of Late-Stage Offshore DFIG-WT with FSTP Converters by Using EKF to Ride through Hybrid Faults," Energies, MDPI, vol. 10(12), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1939-:d:120084
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    References listed on IDEAS

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    1. Alsofyani, Ibrahim M. & Idris, N.R.N., 2013. "A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 111-121.
    2. Kai Ni & Yihua Hu & Yang Liu & Chun Gan, 2017. "Performance Analysis of a Four-Switch Three-Phase Grid-Side Converter with Modulation Simplification in a Doubly-Fed Induction Generator-Based Wind Turbine (DFIG-WT) with Different External Disturbanc," Energies, MDPI, vol. 10(5), pages 1-24, May.
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