基于SCADA数据的风电机组偏航控制参数优化

PARAMETER OPTIMIZATION OF YAW CONTROL FOR WIND TURBINE BASED ON SCADA DATA

针对大型风电机组偏航控制参数在实际应用中适应水平差、控制精度低等问题,首先对机组SCADA数据进行统计处理和分析计算,以确定偏航控制区间的划分界限;然后依据各个区间控制策略和风向特点的不同确定参数优化范围,在此基础上应用细菌群体趋药性(BCC)算法对偏航控制参数进行搜索寻优,分别得到高、中、低3级风速区间最优偏航偏差阈值和延迟时间;通过Bladed软件仿真表明该优化方法可在满足偏航比要求的前提下提高发电量,使风场获得更大的经济效益。

The yaw control parameters for large wind turbine currently used encounters the problem of low-level adaptability to the environment and low control accuracy. The SCADA data of the unit is first analyzed and calculated to determine the boundaries line of the yaw control region,based on each interval different control strategy and the wind direction characteristics to determine the scope of the parameter optimization. Then,using the bacterial colony chemotaxis(BBC)algorithm to optimize the yaw control parameters,get high,medium and low three wind speed interval optimization of yaw deviation threshold and delay time. The simulation results of Bladed show that the optimization method increase the power generation capacity in the premise of ensuring the yaw ratio to meet the relevant requirements,so that the wind farm can obtain greater economic benefits.