Sensitivity analysis of wake steering optimisation for wind farm power maximisation

Abstract 2 × 1 farm layout under aligned conditions is first considered, allowing for a careful investigation of the sensitivity to wake models and operating conditions. A medium-complexity case of a generic 5 × 5 farm layout under aligned conditions is examined to enable the study of a more complex design space. The final layout investigated is the Horns Rev wind farm (80 turbines), for which there have been very few studies of the performance or sensitivity of wake steering optimisation. Overall, the results indicate a strong sensitivity of wake steering strategies to both the analytical wake model choice and the particular implementation of algorithms used for optimisation. Significant variability can be observed in both farm power improvement and optimal yaw settings, depending on the optimisation setup. Through a statistical analysis of the impact of optimiser initialisation and a study of the multi-modal and discontinuous nature of the underlying farm power objective functions, this study shows that the uncovered sensitivities represent a fundamental challenge to robustly identifying globally optimal solutions for the high-dimensional optimisation problems arising from realistic wind farm layouts. This paper proposes a simple strategy for sensitivity mitigation by introducing additional optimisation constraints, leading to higher farm power improvements and more consistent, coherent, and practicable optimal yaw angle settings.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Sensitivity analysis of wake steering optimisation for wind farm power maximisation ; volume:8 ; number:9 ; year:2023 ; pages:1425-1451 ; extent:27 ; Wind energy science ; 8, Heft 9 (2023), 1425-1451 (gesamt 27)

Beteiligte, Orts- und Zeitangaben

• Urheber: Gori, Filippo ; Laizet, Sylvain ; Wynn, Andrew

Weitere Informationen

• DOI: 10.5194/wes-8-1425-2023
• URN: urn:nbn:de:101:1-2023092104284951659594
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 11:00 MESZ