Data-Driven Approach for Wind Farm Control: Toward an Alternative to FLORIS
Minjeong Kim,
Sungsu Park
Abstract:In this paper, we introduce a data-driven approach to wind farm control, offering an alternative to the FLORIS wind farm simulator. Our method estimates the power of a wind farm and determines the optimal yaw angle to maximize power generation. Initially, we develop a power estimation neural network using data from FLORIS for power estimation and validate its accuracy and reliability. Subsequently, this power estimation neural network is employed to determine the optimal yaw angle for maximum power production.… Show more
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