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Energies 2017, 10(2), 149; doi:10.3390/en10020149

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

1
GGS GmbH, Gotthardstrasse 37, 6490 Andermatt, Switzerland
2
Control Engineering Group, School of Engineering—Energy and Information, University of Applied Sciences (HTW) Berlin, 12459 Berlin, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 3 October 2016 / Revised: 10 January 2017 / Accepted: 11 January 2017 / Published: 24 January 2017
View Full-Text   |   Download PDF [2064 KB, uploaded 24 January 2017]   |  

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. View Full-Text
Keywords: fault tolerant systems; power system control; wind energy system; actuators fault tolerant systems; power system control; wind energy system; actuators
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Giger, U.; Kühne, P.; Schulte, H. Fault Tolerant and Optimal Control of Wind Turbines with Distributed High-Speed Generators. Energies 2017, 10, 149.

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