학술논문

基于卡尔曼滤波算法的风电机组动态推力消减控制策略 / DYNAMIC THRUST REDUCTION CONTROL STRATEGY OF WIND TURBINE BASED ON KALMAN FILTERING ALGORITHM
Document Type
Academic Journal
Source
太阳能 / Solar Energy. (1):43-50
Subject
卡尔曼滤波算法
风电机组
推力
极限荷载
推力消减
控制策略
Kalman filtering algorithm
wind turbines
thrust
ultimate load
thrust reduction
control strategy
Language
Chinese
ISSN
1003-0417
Abstract
随着变桨变速式风电机组叶片的大型化发展趋势,风电机组在额定风速区域运行时,由于尖峰推力导致的极限荷载问题越来越突出.为此,在风电机组基本控制策略基础上提出了一种基于卡尔曼滤波算法的动态推力消减控制策略,根据风电机组能量传递关系,以测量转矩、桨距角和风轮转速为输入量,对轮毂风速进行估计,经过推力消减控制器的最优桨距角计算实现动态变桨,以降低风电机组整体的轴向推力水平;最后以某5.0 MW风电机组为例,搭建了半实物仿真实验平台,对提出的控制策略进行了实验验证.实验结果表明:该控制策略能够有效降低风电机组轴向推力,减小风电机组极限荷载.
With the trend of large-scale development of variable pitch variable speed wind turbine blades,the problem of ultimate load caused by peak thrust is becoming increasingly prominent when wind turbines operate in the rated wind speed range.Therefore,this paper proposes a dynamic thrust reduction control strategy based on the Kalman filtering algorithm on the basis of basic control strategy for wind turbines.According to the energy transfer relationship of the wind turbine,the hub wind speed is estimated by measuring torque,pitch angle,and rotor speed as inputs.The optimal pitch angle of the thrust reduction controller is calculated to achieve dynamic pitch control,in order to reduce the overall axial thrust level of the wind turbine;Finally,taking a 5.0 MW wind turbine as an example,a hardware in the loop simulation experimental platform is built to experimentally verify the proposed control strategy.The experimental results show that this control strategy can effectively reduce the axial thrust of wind turbines and the ultimate load of wind turbines.