Status and Prospect of Yaw System Control Strategy for Wind Turbines

doi:10.12096/j.2096-4528.pgt.20012

Abstract

Abstract:

Due to the randomness and volatility of the wind direction, wind turbine orientation control used on the yaw system of the wind turbine, and the failure of the wind turbine led by yaw frequently. The current situation of yaw control strategy was reviewed. The execution strategy and reboot strategy were reviewed separately. It is concluded that most of the yaw execution strategy research were still implemented on simulation tools, and the wind direction prediction was more reflected in the yaw execution strategy. Few studies have been carried out on yaw reboot strategy, which is mainly to modify the threshold value of wind speed and direction. Yaw control strategy can reduce the probability of failure, increase the power of wind farms and improve the overall economic benefits.

Key words: wind turbine, yaw system, control strategy, wind direction prediction

CLC Number:

TK83
TM315

Lei ZHANG, Jiying LI, Qinwei LI, Mince ZHANG, Yunfeng GUO, Lidong ZHANG. Status and Prospect of Yaw System Control Strategy for Wind Turbines[J]. Power Generation Technology, 2021, 42(3): 306-312.

Figures/Tables 2

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目标	算法	仿真工具
寻找最大发电功率确定风力机最佳偏航^[17-18]	基于功率检测的爬山算法	MATLAB
风机发电效率最大^[19-20]	优化卡尔曼滤波结合爬山算法	MATLAB
偏航系统稳定性^[21]	模糊控制算法	MATLAB
偏航系统稳定性和控制精度^[22]	粒子群算法	MATLAB
基于风向预测^[25]，功率最大化^[26]	混合自回归积分移动平均法结合卡尔曼滤波^[23-24]	MATLAB
偏航误差^[28]	神经网络及随机森林	—
提高对风精度^[29]	聚类结合风向预测	—
降低偏航频次，提高对风精度，提升发电量^[35]	基于卡尔曼滤波的自适应偏航控制策略	MATLAB
提高发电量^[36]	细菌群体趋药性算法	MATLAB+ BLADED

目标	算法	仿真工具
寻找最大发电功率确定风力机最佳偏航^[17-18]	基于功率检测的爬山算法	MATLAB
风机发电效率最大^[19-20]	优化卡尔曼滤波结合爬山算法	MATLAB
偏航系统稳定性^[21]	模糊控制算法	MATLAB
偏航系统稳定性和控制精度^[22]	粒子群算法	MATLAB
基于风向预测^[25]，功率最大化^[26]	混合自回归积分移动平均法结合卡尔曼滤波^[23-24]	MATLAB
偏航误差^[28]	神经网络及随机森林	—
提高对风精度^[29]	聚类结合风向预测	—
降低偏航频次，提高对风精度，提升发电量^[35]	基于卡尔曼滤波的自适应偏航控制策略	MATLAB
提高发电量^[36]	细菌群体趋药性算法	MATLAB+ BLADED

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