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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Discussion papers
https://doi.org/10.5194/wes-2019-15
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-15
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research articles 16 Apr 2019

Research articles | 16 Apr 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).

Uncertainties identification of the blade-mounted lidar-based inflow wind speed measurements for robust feedback-feedforward control synthesis

Róbert Ungurán1, Vlaho Petrović1, Lucy Y. Pao2, and Martin Kühn1 Róbert Ungurán et al.
  • 1ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
  • 2Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, USA

Abstract. The current trend toward larger wind turbine rotors leads to high periodic loads across the components due to the non-uniformity of inflow across the rotor. On this regard, we introduce a blade-mounted lidar on each blade to provide a preview of inflow wind speed that can be used as a feedforward control input for the mitigation of such periodic blade loads. We present a method to easily determine blade-mounted lidar parameters, such as focus distance, telescope position, and orientation on the blade. However, such method is accompanied by uncertainties in the inflow wind speed measurement, which may also be due to the induction zone, wind evolution, cyclops dilemma, unidentified misalignment in the telescope orientation, and the blade segment orientation sensor. Identification of these uncertainties allows their inclusion in the feedback-feedforward controller development for load mitigation. We perform large-eddy simulations, in which we simulate the blade-mounted lidar including the dynamic behaviour and the induction zone of one reference wind turbine for one above rated inflow wind speed. Our calculation approach provides a good trade-off between a fast-and-simple determination of the telescope parameters and an accurate inflow wind speed measurement. We identify and model the uncertainties, which then can directly be included in the feedback-feedforward controller design and analysis. The rotor induction effect increases the preview time, which needs to be considered in the controller development and implementation.

Róbert Ungurán et al.
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Latest update: 20 May 2019
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Short summary
A novel lidar based sensory system for wind turbine control is proposed. The main contributions are the parametrization method of the novel measurement system, identification of possible sources of measurement uncertainty as well as their modelling. Although not in the focus of the submitted paper, the mentioned contributions represent essential building blocks for robust feedback-feedforward wind turbine control development which could be used to improve wind turbine control strategies.
A novel lidar based sensory system for wind turbine control is proposed. The main contributions...
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