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Journal article · Conference paper

Optimised de-rated wind turbine response and loading through extended controller gain-scheduling

From

Wind turbine loads & control, Department of Wind Energy, Technical University of Denmark1

Department of Wind Energy, Technical University of Denmark2

An increasing number of wind turbines are expected to be able to participate in the ancillary services that would normally be provided by conventional power plants, as the penetration of the wind energy in the electricity grid is increasing. Specifically, the turbines are needed to be able to control their active power based on the operator command.

Constraining the possible output power, i.e. decreasing the power to less than the maximum or rated power, is therefore important for the wind turbine control system. When a turbine is operating under a de-rating strategy, the operating points of the turbine, i.e. the steady-state blade pitch and the tip speed ratio, change compared to the normal case and this needs to be considered within the controller design.

Thus, this paper is to study the influence of the de-rating on the turbine controller gain-scheduling and its effect to power output and fatigue damage of the key turbine components. The results show that the wind turbine response is refined through tuning under the different down-regulation operation points, that translate into less fatigue damage of the key turbine components.

For a typical multi-megawatt turbine, it is found that the main component lifetime damage can be reduced substantially. In numerical terms, there are up to 6.5% for the tower BM in fore-aft direction and 2.7% for the blade root flapwise direction, which can lead in a prolonged operational lifetime of the wind turbine.

Language: English
Publisher: IOP Publishing
Year: 2019
Pages: 012020
Proceedings: WindEurope Conference and Exhibition 2019
Series: Journal of Physics: Conference Series (online)
ISSN: 17426596 and 17426588
Types: Journal article and Conference paper
DOI: 10.1088/1742-6596/1222/1/012020
ORCIDs: Galinos, Christos , Urbán, Albert M. and Lio, Wai Hou

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