摘要
提出一种基于风向预测的新型控制方案,该控制方案涉及一种新颖的控制结构,包含风向预测模型和新型偏航控制。在上述控制结构下,利用基于自回归综合移动平均线的卡尔曼滤波模型来预测风向,同时提出一种基于有限控制集的模型预测控制方法。为证明所提方案的可行性和优越性,开发一种新型偏航控制器并用工业数据进行仿真测试,然后将其性能与工业偏航控制器相比,结果表明新型偏航控制器具有更小的偏航误差,因此增加了最大风力获取能力。
A novel yaw control method for wind turbines based on predicted wind directions is proposed in this study.Specially,the proposed solution refers to a novel control structure that consists of a wind direction predictive model and a novel yaw control method.Under the proposed control structure,a hybrid autoregressive integrated moving average method-based Kalman filter model is used to predict the wind direction,and a novel model predictive control using a finite control set is proposed.To demonstrate the feasibility and the superiority of the proposed solution,the novel yaw controller is developed and tested through some simulation tests using industrial data.The performance is compared to the industrial yaw controller.Comparison results show that the novel yaw controller can reduce yaw error,and thus increase wind power extraction for the WTs.
作者
肖玥
封焯文
余子鹏
阳雪兵
Xiao Yue;Feng Zhuowen;Yu Zipeng;Yang Xuebing(Hunan Biological Electromechanical Vocational Technical College,Changsha 410127,China;China Energy Engineering Group Hunan Electric Power Design Institute Co.,Ltd.,Changsha 410007,China;Hara XEMC Windpower Co.,Ltd.,Xiangtan 411102,China;State Key Laboratory of Offshore Wind-Power Technology and Testing,Xiangtan 411102,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2021年第2期144-149,共6页
Acta Energiae Solaris Sinica
基金
2017年湖南省重点研发计划-国际与区域科技创新合作重点研发项目(2017WK2051)
湖南省战略性新兴产业-科技攻关与重大科技成果转化项目(2018GK4002)。
关键词
风能
风力机
偏航控制
模型预测控制
wind power
wind turbine
yaw control
model predictive control