Volume 3, issue 1 | Copyright
Wind Energ. Sci., 3, 139-147, 2018
https://doi.org/10.5194/wes-3-139-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research articles 22 Mar 2018

Research articles | 22 Mar 2018

Modeling of quasi-static thrust load of wind turbines based on 1 s SCADA data

Nymfa Noppe, Wout Weijtjens, and Christof Devriendt Nymfa Noppe et al.
  • Offshore wind infrastructure lab (OWI-lab), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium

Abstract. A reliable load history is crucial for a fatigue assessment of wind turbines. However, installing strain sensors on every wind turbine is not economically feasible. In this paper, a technique is proposed to reconstruct the thrust load history of a wind turbine based on high-frequency Supervisory Control and Data Acquisition (SCADA) data. Strain measurements recorded during a short period of time are used to train a neural network. The selection of appropriate input parameters is performed based on Pearson correlation and mutual information. Once the training is done, the model can be used to predict the thrust load based on SCADA data only. The technique is validated on two different datasets, one consisting of simulation data (using the software FAST v8, created by Jonkman and Jonkman, 2016) obtained in a controllable environment and one consisting of measurements taken at an offshore wind turbine. In general, the relative error between simulated or measured and predicted thrust load barely exceeds 15% during normal operation.

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A reliable load history is crucial for a fatigue assessment of wind turbines. However, installing strain sensors to measure the load history on every wind turbine is not economically feasible. In this paper, a technique is proposed to reconstruct the thrust load history of a wind turbine based on high-frequency SCADA data and a trained neural network. Both simulated and real-world results show the potential of high-frequency SCADA for thrust load reconstruction.
A reliable load history is crucial for a fatigue assessment of wind turbines. However,...
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