On-Line Detection Algorithm of Wind Turbine Wake Impact

Tao SUN; Qiwei DUAN; Qun DANG; Qiang FENG

doi:10.16513/j.2096-2185.DE.2106015

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Distributed Energy ›› 2021, Vol. 6 ›› Issue (1) : 51-55. DOI: 10.16513/j.2096-2185.DE.2106015

Application Technology

On-Line Detection Algorithm of Wind Turbine Wake Impact

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Abstract

The wake of upwind wind turbine in wind farm will greatly affect the power generation and life of downwind wind turbine. Usually, if the wake effect is detected after the wind farm is built, the wind farm operator will use control techniques such as wake redirection and inductive factor control to reduce the impact of the wake.To this end, it is necessary to develop a technology that can detect the impact of the wake on the wind turbine online. The existing methods of wind turbine wake detection have the defects of high cost or low reliability. A real-time online data analysis method based on strain detection is proposed. This method can provide reliable wake impact detection results for the control system when the wind wheel is hit by all or part of the wake. FAST.Farm, a wind farm simulation tool developed by the renewable energy laboratory in the united states, was used to simulate the proposed method under both uniform and turbulent wind conditions. The simulation results verify the effectiveness of the proposed method under typical wind conditions.

Key words

wake pit / wake impact / wake detection / wind turbine

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Tao SUN , Qiwei DUAN , Qun DANG , et al. On-Line Detection Algorithm of Wind Turbine Wake Impact[J]. Distributed Energy Resources. 2021, 6(1): 51-55 https://doi.org/10.16513/j.2096-2185.DE.2106015

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