基于风速模型的风电机组动态转矩前馈控制技术  

Dynamic Torque Feed Forward Control Technology of Wind Turbine Based on Wind Speed Model

作　　者：关中杰 鲁效平 李钢强 王军龙 Guan Zhongjie;Lu Xiaoping;Li Gangqiang;Wang Junlong(CRRC Wind Power(Shandong)Co.Ltd Jinan 250022 China)

机构地区：[1]山东中车风电有限公司,济南250022

出　　处：《电工技术学报》2018年第22期5338-5345,共8页Transactions of China Electrotechnical Society

基　　金：国家电网公司科技项目资助(NYB17201600300)

摘　　要：对基于风速模型的风电机组动态转矩控制技术进行研究。首先基于扩展Kalman滤波器构建风速估计模型,利用风电机组空气和结构动力学特性建立动力学方程并对其进行线性化。在利用扩展Kalman滤波器进行状态观测器设计时,采用连续离散混合类型的迭代方式构建风速估计模型。然后利用该风速模型估计出风轮气动转矩,利用估计出的气动转矩建立风电机组动态转矩前馈控制算法,并给出了控制算法稳定性设计方法。最后以国内某厂家2MW风电机组为例,对风速估计前馈控制算法进行了仿真和现场测试验证。结果表明,风速模型的估计值与现场实测值吻合度较高,风速相关性达98.4%,基于风速模型的风电机组动态转矩控制方法可以有效降低风电机组关键部位的极限载荷。The wind turbine dynamic torque control technology based on wind speed model is studied.Firstly,the wind speed estimation model is built based on the extended Kalman filter,and the dynamic equation is established and linearized by using the air and structural dynamic characteristics of the wind turbine.When using the extended Kalman filter to design the state observer,the continuous discrete hybrid type iterative way is used to construct the wind speed estimation model.Then the aerodynamic torque of the wind turbine is estimated by the wind speed model,and the dynamic torque feed forward control algorithm of the wind turbine is established by the estimated aerodynamic torque.The stable controller design method is given.Finally,taking the 2MW wind turbine as an example,the wind speed estimation feed forward control algorithm is simulated and field tested.The results show that the estimated wind speed model is in good agreement with the field measured data,the wind speed correlation is 98.4%.Based on the wind speed model,the dynamic torque control method of wind turbine can effectively reduce the ultimate load of wind turbine.

关 键 词：风电机组 扩展KALMAN滤波器 风速模型 转矩动态前馈控制 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]