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Fault Tolerant and Optimal Control of Wind Turbines with Distributed High-Speed Generators

Author

Listed:
  • Urs Giger

    (GGS GmbH, Gotthardstrasse 37, 6490 Andermatt, Switzerland)

  • Patrick Kühne

    (Control Engineering Group, School of Engineering—Energy and Information, University of Applied Sciences (HTW) Berlin, 12459 Berlin, Germany)

  • Horst Schulte

    (Control Engineering Group, School of Engineering—Energy and Information, University of Applied Sciences (HTW) Berlin, 12459 Berlin, Germany)

Abstract

In this paper, the control scheme of a distributed high-speed generator system with a total amount of 12 generators and nominal generator speed of 7000 min − 1 is studied. Specifically, a fault tolerant control (FTC) scheme is proposed to keep the turbine in operation in the presence of up to four simultaneous generator faults. The proposed controller structure consists of two layers: The upper layer is the baseline controller, which is separated into a partial load region with the generator torque as an actuating signal and the full-load operation region with the collective pitch angle as the other actuating signal. In addition, the lower layer is responsible for the fault diagnosis and FTC characteristics of the distributed generator drive train. The fault reconstruction and fault tolerant control strategy are tested in simulations with several actuator faults of different types.

Suggested Citation

  • Urs Giger & Patrick Kühne & Horst Schulte, 2017. "Fault Tolerant and Optimal Control of Wind Turbines with Distributed High-Speed Generators," Energies, MDPI, vol. 10(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:149-:d:88626
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    Citations

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    Cited by:

    1. Hamed Habibi & Hamed Rahimi Nohooji & Ian Howard & Silvio Simani, 2019. "Fault-Tolerant Neuro Adaptive Constrained Control of Wind Turbines for Power Regulation with Uncertain Wind Speed Variation," Energies, MDPI, vol. 12(24), pages 1-33, December.
    2. Miguel A. Rodríguez-López & Luis M. López-González & Luis M. López-Ochoa & Jesús Las-Heras-Casas, 2018. "Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data," Energies, MDPI, vol. 11(4), pages 1-22, March.

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