刘河生,雷航,张瑞刚

• 1:西安热工研究院有限公司

摘要(Abstract)：

为定量研究双馈型风力发电机组传动链的扭振控制，提出了一种基于卡尔曼滤波的反馈控制策略，并通过仿真计算的方式对比了传动链扭振的控制效果。以7.0 MW双馈型风力发电机组传动链为研究对象，采用卡尔曼滤波估计传动链扭振角度，并以低速轴扭振速度估计值为参考设计了发电机附加电磁转矩作用于风电机组转矩控制，与虚拟阻尼控制、无阻尼控制进行了20年全生命周期内的载荷与发电量计算对比。结果表明：经过卡尔曼滤波估计的低速轴扭角与实际值的相关性可以达到0.99；基于卡尔曼滤波的反馈控制分别与虚拟阻尼控制、无阻尼控制的关键差异为，传动链低速轴等效疲劳载荷分别降低2.11%、4.89%，传动链高速轴等效疲劳载荷分别降低1.99%、4.78%，发电量分别降低200、700 k W·h。卡尔曼滤波对传动链扭角估计较准确，且以卡尔曼滤波估计得到的低速轴扭振速度设计的附加电磁转矩对传动链扭振具有非常好的抑制效果。

关键词(KeyWords)： 双馈型风电机组;传动链扭振;卡尔曼滤波;等效疲劳载荷;年发电量

Abstract:

Keywords:

基金项目(Foundation): 西安热工研究院有限公司科技项目（TQ-22-TYK27）~~

作者(Author): 刘河生,雷航,张瑞刚

DOI: 10.19666/j.rlfd.202308138

参考文献(References)：

• [1] SHENG S. Report on wind turbine subsystem reliability a survey of various databases[R]. America:National Renewable Energy Laboratory, 2013.
• [2]赵鹏程,王剑钊.双馈风力发电机组轴系扭振特性研究[J].热力发电, 2020, 49(7):35-40.ZHAO Pengcheng, WANG Jianzhao. Torsional vibration characteristics of doubly fed wind turbine shafting[J].Thermal Power Generation, 2020, 49(7):35-40.
• [3]白聪儿,孙哲杰,秦美娟,等.风电机组传动链动力响应特性与支撑系统影响[J].浙江大学学报(工学版),2023, 57(6):1165-1174.BAI Conger, SUN Zhejie, QIN Meijuan, et al. Dynamic response characteristics of wind turbine drive train and influence of support system[J]. Journal of Zhejiang University(Engineering Science), 2023, 57(6):1165-1174.
• [4]王爽,田德,唐世泽,等.基于二自由度控制的风电机组传动链载荷优化研究[J].风能, 2020, 130(12):62-68.WANG Shuang, TIAN De, TANG Shize, et al. Research on load optimization of wind turbine drive train based on two degrees of freedom control[J]. Wind Energy, 2020,130(12):62-68.
• [5]庞辉庆,邓英,刘茜,等.基于卡尔曼滤波的风电机组传动链扭振控制[J].太阳能学报, 2020, 41(11):293-299.PANG Huiqing, DENG Ying, LIU Qian, et al. Torsional vibration control of wind turbine drive train based on Kalman filter[J]. Acta Energiae Solaris Sinica, 2020,41(11):293-299.
• [6]王智超,王瑛玮,孙然,等.考虑风电机组传动链疲劳载荷的常态化惯量响应方法[J].节能技术, 2023,41(1):93-97.WANG Zhichao, WANG Yingwei, SUN Ran, et al.Inertia response method considering fatigue load of wind turbine drive train[J]. Energy Conservation Technology,2023, 41(1):93-97.
• [7]任坤涛.浮式风电机组传动链扭振抑制自抗扰控制策略研究[D].重庆:重庆大学, 2022:1.REN Kuntao. Research on active disturbance rejection control strategy for torsional vibration suppression of floating wind turbine drive train[D]. Chongqing:Chongqing University, 2022:1.
• [8]蔡润泽,孟岩峰,胡书举.基于改进自抗扰控制的双馈式风电机组传动系统扭振抑制策略[J].可再生能源,2020, 38(3):333-339.CAI Runze, MENG Yanfeng, HU Shuju. Torsional vibration suppression strategy of doubly fed wind turbine drive train based on improved auto-disturbancesrejection control[J]. Renewable Energy Resources, 2020,38(3):333-339.
• [9]欧阳敏南,李录平,樊昂,等.双馈风电机组轴系扭振理论与扭振控制技术研究进展[J].电站系统工程,2022, 38(1):1-7.OUYANG Minnan, LI Luping, FAN Ang, et al. Research progress of torsional vibration theory and torsional vibration control technology for doubly fed wind turbines[J]. Power System Engineering, 2022, 38(1):1-7.
• [10]雷航,刘河生,张瑞刚,等.基于单纯形法的风电机组独立变桨控制技术研究与仿真[J].热力发电, 2023,52(3):144-150.LEI Hang, LIU Hesheng, ZHANG Ruigang, et al.Research and simulation of wind turbine individual pitch control technology based on simplex method[J]. Thermal Power Generation, 2023, 52(3):144-150.
• [11] YAN J H,FENG Y,DONG J N. Study on dynamic characteristic of wind turbine emulator based on PMSM[J]. Renewable Energy, 2016, 97:731-736.
• [12] GIRSANG I P, DHUPIA J S, MULJADI E, et al.Gearbox and drive train models to study dynamic effects of modern wind turbines[J]. IEEE Transactions on Industry Applications, 2014, 50(6):1-10.
• [13] STRUGGL S, BERBYUk V, JOHANSSON H. Review on wind turbines with focus on drive train system dynamics[J]. Wind Energy, 2014, 18(4):567-590.
• [14]秦世耀,李少林,王瑞明,等.风电机组传动链柔性建模及电网故障响应特性研究[J].太阳能学报, 2015,36(3):727-733.QIN Shiyao, LI Shaolin, WANG Ruiming, et al. Study on flexible modeling of wind turbine drive train and dynamic response of grid fault[J]. Acta Energiae Solaris Sinica, 2015, 36(3):727-733.
• [15]MASOUD K, VAFA M. A review on Kalman filter models[J]. Archives of Computational Methods in Engineering, 2022, 30(1):5.
• [16] SMYTH A, WU M. Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring[J].Mechanical Systems&Signal Processing, 2007, 21(2):706-723.