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Pitch-Based Wind Turbine Tower Vibration Damping Optimized by Simulated Annealing

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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) (SOCO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 531))

Abstract

In this work we present a control architecture to reduce the vibration of the tower of a wind turbine (WT) using the pitch angle. The parameters of the active tower damping (ATD) control are optimized by the simulated annealing algorithm, which imitates the physical process of steel hardening. To validate the approach, a linearized model of a 5 MW turbine is used at 13 m/s of wind speed. Results show how the optimized active tower damping is able to dampen the oscillations and thus, the peaks and the amplitude of the vibrations are much smaller. This allows to increase the efficiency and reduce the fatigue of the WT.

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Acknowledgments

This work has been partially supported by the Spanish Ministry of Science and Innovation under the project MCI/AEI/FEDER number RTI2018–094902-B-C21.

Author information

Authors and Affiliations

  1. Complutense University of Madrid, Madrid, Spain

    Mikel Serrano

  2. Electromechanical Engineering Department, University of Burgos, Burgos, Spain

    Jesús Enrique Sierra-Garcia

  3. Institute of Knowledge Technology, Complutense University of Madrid, Madrid, Spain

    Matilde Santos

  4. Faculty of Physics, Complutense University of Madrid, 28040, Madrid, Spain

    Giordy Alexander Andrade

Authors
  1. Mikel Serrano
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  2. Jesús Enrique Sierra-Garcia
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  3. Matilde Santos
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  4. Giordy Alexander Andrade
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Corresponding author

Correspondence to Jesús Enrique Sierra-Garcia .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of León, León, Spain

    Hilde Pérez García

  3. Mechanical Engineering Department, University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martinez-de-Pison

  4. Inteligencia Artificial, University of Oviedo, A Coruña, La Coruña, Spain

    José Ramón Villar Flecha

  5. Data Science and Big Data Lab, Pablo de Olavide University, Sevilla, Spain

    Alicia Troncoso Lora

  6. University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  7. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  8. School of engineering, Pablo Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  9. DIGIP, University of Bergamo, Dalmine, Bergamo, Italy

    Giuseppe Psaila

  10. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  11. Department of Computing Science, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado Rodriguez

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Serrano, M., Sierra-Garcia, J.E., Santos, M., Andrade, G.A. (2023). Pitch-Based Wind Turbine Tower Vibration Damping Optimized by Simulated Annealing. In: García Bringas, P., et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). SOCO 2022. Lecture Notes in Networks and Systems, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-031-18050-7_51

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