RESEARCH ON SYNTHETIC WIND SPEED AND DIRECTION PROCESSING BASED ON NACELLE LIDAR

Zhang Peng; Hu Yongzhao; Dong Guangyan; Shen Jing; Wei Longchao; Zhang Pengfei

doi:10.19912/j.0254-0096.tynxb.2024-0171

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 639-647. DOI: 10.19912/j.0254-0096.tynxb.2024-0171

RESEARCH ON SYNTHETIC WIND SPEED AND DIRECTION PROCESSING BASED ON NACELLE LIDAR

Zhang Peng, Hu Yongzhao, Dong Guangyan, Shen Jing, Wei Longchao, Zhang Pengfei

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Abstract

For the vertical distribution of wind speed and direction in front of wind turbines can not be accurately described by linear wind shear model, the measurement of wind filed reconstruction using four-beam lidar is prone to measurement errors. In order to solve this problem and take advantage of the simplicity and low cost of this method, A novel Kalman filtering was proposed to correct the measured data of wind speed and direction measurements. This method estimates the wind speed and direction accurately using a set of sample points to approximate the nonlinear function. After several iteration, this method reduce the measured error of wind speed and direction gradually. Experimental results show that, the novel method ensures the mean of measured error of wend speed and direction is close to zeros, and the standard deviation of the error is reduced by 60%.

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wind turbines / lidar / Kalman filtering / wind speed / wind direction

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Zhang Peng, Hu Yongzhao, Dong Guangyan, Shen Jing, Wei Longchao, Zhang Pengfei. RESEARCH ON SYNTHETIC WIND SPEED AND DIRECTION PROCESSING BASED ON NACELLE LIDAR[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 639-647 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0171

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