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Autor(en): Schlipf, David
Fleming, Paul
Kapp, Stefan
Scholbrock, Andrew
Haizmann, Florian
Belen, Fred
Wright, Alan
Cheng, Po Wen
Titel: Direct speed control using LIDAR and turbine data
Erscheinungsdatum: 2013
Dokumentart: Konferenzbeitrag
Erschienen in: Proceedings of the American Control Conference, Washington, USA, 2013
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-84716
http://elib.uni-stuttgart.de/handle/11682/3923
http://dx.doi.org/10.18419/opus-3906
Zusammenfassung: LIDAR systems are able to provide preview information of the wind speed in front of wind turbines. One proposed use of this information is to increase the energy capture of the turbine by adjusting the rotor speed directly to maintain operation at the optimal tip-speed ratio, a technique referred to as Direct Speed Control (DSC). Previous work has indicated that for large turbines the marginal benefit of the direct speed controller in terms of increased power does not compensate for the increase of the shaft loads. However, the technique has not yet been adequately tested to make this determination conclusively. Further, it is possible that applying DSC to smaller turbines could be worthwhile because of the higher rotor speed fluctuations and the small rotor inertia. This paper extends the previous work on direct speed controllers. A DSC is developed for a 600 kW experimental turbine and is evaluated theoretically and in simulation. Because the actual turbine has a mounted LIDAR, data collected from the turbine and LIDAR during operation are used to perform a hybrid simulation. This technique allows a realistic simulation to be performed, which provides good agreement with theoretical predictions.
Enthalten in den Sammlungen:06 Fakultät Luft- und Raumfahrttechnik und Geodäsie

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