Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model

Zhiwen Deng, Chang Xu (), Zhihong Huo, Xingxing Han and Feifei Xue
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Zhiwen Deng: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Chang Xu: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Zhihong Huo: College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China
Xingxing Han: College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China
Feifei Xue: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China

Energies, 2023, vol. 16, issue 9, 1-20

Abstract: In recent years, a major focus on wind farm wake control is to maximise the production of wind farms. To improve the power generation efficiency of wind farms through wake regulation, this study investigates yaw optimisation for wind farm production maximisation from the perspective of time-varying wakes. To this end, we first deduce a simplified dynamic wake model according to the momentum conservation theory and backward difference method. The accuracy of the proposed model is verified by simulation comparisons. Then, the time lag of wake propagation and its impact on wind farm production maximisation through wake meandering is analysed. On this basis, a yaw optimisation method for increasing wind farm energy capture is presented. This optimisation method uses the proposed dynamic wake model for wind farm prediction. The results indicate that the optimisation period is critical to the effect of the optimisation method on wind farm energy capture.

Keywords: dynamic wake model; production maximisation; wind farm; yaw meandering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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