Power yield improvement of wind turbine and fatigue load mitigation using predictive-based Active flow controller. (November 2022)

• Record Type: Journal Article
• Authors: Sudharsan, G. Srinivasa; Venkatasubramanian, R.; Hemalatha, N.; Deshmukh, Radhika G.; Alanazi, Mohana; Almadhor, Ahmad; Lokesh, S.; N., Karthikeyan; Sudhakar, M.
• Is Part Of: Energy reports. Volume 8(2022)Supplement 8
• Page Start: 989
• Page End: 998
• Publication Date: 2022-11
• Subjects: Azimuthal angle -- Active flow control -- Damage equivalent load; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.10.285
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: The wind turbine construction aging caused by fatigue components of a wind field over a long period affects the physical structure. Flow controlling methodologies are used to alleviate turbine assembly stress. The flow regulation approach controller is critical in the fatigue load minimization procedure. This paper offers a Predictive controller for Independent pitch control (IPC)-based flow management. Because of the azimuthal position of the blade, the flow dynamics of the blades are vulnerable to cyclic fluctuations. This paper considers the azimuthal angle blade dynamics since there is a significant variation in movements between the bottom and top blades. The suggested controller (which takes into account the wind turbine's Azimuthal angle characteristics) outperforms the existing controllers in terms of its capacity to forecast the blade's reaction as it approaches the azimuthal location. The complete replication was effectively done.