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Multi objectives optimization of wind turbines’ power and fatigue loads using perturbation free extremum seeking control
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. University of Anbar, Iraq.ORCID iD: 0000-0002-6894-7896
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9901-5776
Queen's University, Canada.
2024 (English)In: Results in Control and Optimization, E-ISSN 2666-7207, Vol. 16, article id 100438Article in journal (Refereed) Published
Abstract [en]

This manuscript introduces a perturbation-free extremum-seeking control strategy specifically designed to enhance the operational performance of wind turbines under optimal conditions. The strategy employed utilizes a perturbation-free extremum-seeking approach to ensure the wind turbine farm operates at maximum power efficiency while also reducing power output fluctuations. By employing this control system, the wind turbine generators are maintained at their optimal power output level, effectively navigating through disturbances such as tower shadow, wind shear, and the erratic nature of wind speeds without introducing external perturbations. The algorithm is adept at managing the blade pitch angles and the turbines’ rotational speed, ensuring a controlled and efficient operation. Furthermore, this paper outlines a perturbation-free method to optimize energy production and decrease fatigue loads, thereby extending the operational lifespan of a wind turbine. The superior operational efficiency of the wind turbine array generators achieved through this approach underscores its effectiveness. The robustness and effectiveness of this perturbation-free control system are validated through comprehensive simulation tests on an array comprising four wind turbine generators. The outcomes of these simulations solidly back the extremum-seeking control system's proficiency in reaching maximum power output without relying on perturbative methods, highlighting its innovative contribution to wind turbine efficiency optimization.

Place, publisher, year, edition, pages
Elsevier B.V. , 2024. Vol. 16, article id 100438
Keywords [en]
Blade pitch control, Extremum seeking control, Fatigue, Tower shadow, Turbulence, Wind shear, Wind turbine
National Category
Control Engineering Energy Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-107770DOI: 10.1016/j.rico.2024.100438ISI: 001257611500001Scopus ID: 2-s2.0-85195828697OAI: oai:DiVA.org:ltu-107770DiVA, id: diva2:1875758
Note

Validerad;2024;Nivå 1;2024-06-28 (joosat);

Full text license: CC BY-NC-ND

Available from: 2024-06-24 Created: 2024-06-24 Last updated: 2025-10-21Bibliographically approved

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Nayl, ThakerAtta, Khalid Tourkey

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