DocumentCode
630680
Title
Direct Speed Control using LIDAR and turbine data
Author
Schlipf, David ; Fleming, Paul ; Kapp, Stefan ; Scholbrock, Andrew ; Haizmann, Florian ; Belen, Fred ; Wright, Andrew ; Po Wen Cheng
Author_Institution
Stuttgart Wind Energy Res. (SWE), Univ. Stuttgart, Stuttgart, Germany
fYear
2013
fDate
17-19 June 2013
Firstpage
2208
Lastpage
2213
Abstract
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.
Keywords
angular velocity control; optical radar; rotors; wind turbines; DSC; LIDAR systems; direct speed control; optimal tip-speed ratio; rotor inertia; rotor speed fluctuations; shaft loads; turbine data; wind speed; wind turbines; Laser radar; Optimized production technology; Rotors; Velocity control; Wind speed; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580163
Filename
6580163
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