Articles | Volume 10, issue 11
https://doi.org/10.5194/wes-10-2489-2025
https://doi.org/10.5194/wes-10-2489-2025
Research article
 | 
04 Nov 2025
Research article |  | 04 Nov 2025

Extension of the Langevin power curve analysis by separation per operational state

Christian Wiedemann, Henrik Bette, Matthias Wächter, Jan A. Freund, Thomas Guhr, and Joachim Peinke

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Cited articles

Ackermann, T. and Söder, L.: An overview of wind energy-status 2002, Renew. Sust. Energ. Rev., 6, 67–127, 2002. a
Bette, H. M., Jungblut, E., and Guhr, T.: Nonstationarity in correlation matrices for wind turbine SCADA‐data, Wind Energy, 26, 826–849, https://doi.org/10.1002/we.2843, 2023. a, b, c, d, e
Bette, H. M., Wiedemann, C., Wächter, M., Freund, J., Peinke, J., and Guhr, T.: Dynamics of wind turbine operational states, arXiv [preprint], https://doi.org/10.48550/arXiv.2310.06098, 2023. a
Epanechnikov, V.: Nonparametric estimation of a multidimensional probability density, Teor. Ver. Prim., 14, 156–161, 1969. a, b
Hannan, M., Al-Shetwi, A. Q., Mollik, M., Ker, P. J., Mannan, M., Mansor, M., Al-Masri, H. M., and Mahlia, T. I.: Wind Energy Conversions, Controls, and Applications: A Review for Sustainable Technologies and Directions, Sustainability-Basel, 15, 3986, https://doi.org/10.3390/su15053986, 2023. a
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This study utilizes a method to analyze power conversion dynamics across different operational states, addressing non-stationarity with a correlation matrix algorithm. Findings reveal distinct dynamics for each state, emphasizing their impact on system behavior and offering a solution for hysteresis effects in power conversion dynamics.
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