Articles | Volume 9, issue 11
https://doi.org/10.5194/wes-9-2133-2024
https://doi.org/10.5194/wes-9-2133-2024
Brief communication
 | 
08 Nov 2024
Brief communication |  | 08 Nov 2024

Brief communication: Real-time estimation of the optimal tip-speed ratio for controlling wind turbines with degraded blades

Devesh Kumar and Mario A. Rotea

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Cited articles

Abbas, N. J., Zalkind, D. S., Pao, L., and Wright, A.: A reference open-source controller for fixed and floating offshore wind turbines, Wind Energ. Sci., 7, 53–73, https://doi.org/10.5194/wes-7-53-2022, 2022. a, b, c, d, e
Adetola, V. and Guay, M.: Robust adaptive MPC for constrained uncertain nonlinear systems, Int. J. Adapt. Contr. Sig. Process., 25, 155–167, 2011. a
Ariyur, K. B. and Krstic, M.: Real-time optimization by extremum-seeking control, John Wiley & Sons, print ISBN 9780471468592, online ISBN 9780471669784, https://doi.org/10.1002/0471669784, 2003. a
Burton, T., Jenkins, N., Sharpe, D., and Bossanyi, E.: Wind energy handbook, John Wiley & Sons, print ISBN 9780470699751, online ISBN 9781119992714, https://doi.org/10.1002/9781119992714, 2011. a, b
Ciri, U., Rotea, M., Santoni, C., and Leonardi, S.: Large-eddy simulations with extremum-seeking control for individual wind turbine power optimization, Wind Energy, 20, 1617–1634, https://doi.org/10.1002/we.2112, 2017. a
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Short summary
The performance of a wind turbine is affected by blade surface degradation due to wear and tear, dirt, bugs, and icing. As blades degrade, optimal operating points such as the tip-speed ratio (TSR) can change. Re-tuning the TSR to its new optimal value can lead to recovery of energy losses under blade degradation. In this work, we utilize a real-time algorithm to re-tune the TSR to its new unknown optimal value under blade degradation and demonstrate energy gains using simulations.
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