基于数据驱动的海上风力发电机组独立变桨距控制
|
摘要
针对传统的变桨控制算法收敛速度慢和精度低的缺点,研究一种基于数据驱动的海上风力发电机组独立变桨控制方法。该方法在传统统一变桨控制的基础上设计了广义无模型预测控制器,通过基于拟牛顿信赖域的方法改进混沌粒子群优化算法从而提高了寻优速度。仿真结果表明:所提出的方法能有效提高海上风力发电机组的功率预测精度以及载荷优化效率,为保证海上风力发电机组的稳定性和可靠性提供了有力依据。
According to the slow convergence speed and low accuracy of traditional pitch control,an individual pitch control method of offshore wind turbine based on data-drive is proposed. This method improves the traditional uniform pitch control basedon the design of the generalized model free predictive controller,improves chaotic particle swarm optimization algorithm to improvethe optimization through the method of speed based on quasi-newton trust-region. The simulation results show that the proposedmethod can effectively improve the accuracy and efficiency of the power load forecasting optimization of offshore wind turbine,provide a strong basis to ensure the stability and reliability of offshore wind turbine.
According to the slow convergence speed and low accuracy of traditional pitch control,an individual pitch control method of offshore wind turbine based on data-drive is proposed. This method improves the traditional uniform pitch control basedon the design of the generalized model free predictive controller,improves chaotic particle swarm optimization algorithm to improvethe optimization through the method of speed based on quasi-newton trust-region. The simulation results show that the proposedmethod can effectively improve the accuracy and efficiency of the power load forecasting optimization of offshore wind turbine,provide a strong basis to ensure the stability and reliability of offshore wind turbine.
引文
[1]祖晖,沈绍博,李涛,等.额定风速以上风切变场中风力发电系统独立变桨鲁棒控制[J].信息与控制,2015,44(2):244-251.
[2]邢钢,郭威.风力发电机组变桨距控制方法研究[J].农业工程学报,2008,24(5):181-186.
[3]王宏,刘贤贺.随机波浪载荷作用下海洋平台结构动力响应分析[J].船舶职业教育,2016,4(4):28-31.
[4]Sajjad F,TaiebatMahdi,Liam F D. Group reduction fac-tors for analysis of laterally loaded pile groups[J]. Canadi-an Geotechnical Journal,2014,51(7):758-769(12).
[5]李春兰,曹成帅,汪泽,等.减小风剪、塔影和湍流效应的独立变桨控制研究[J].科学技术与工程,2016,16(16):64-69.
[6]Tang C Y,Guo Y,Jiang J N. Nonlinear dual-mode con-trol of variable-speed wind turbines with doubly fed induc-tion generators[J]. Control System Technology,2010,18(6):1-13.
[7]崔双喜,王维庆,张新燕.大型风力发电机组无模型独立变桨载荷控制[J].电力系统保护与控制,2013(5):54-59.
[8]侯忠生,许建新.数据驱动控制理论及方法的回顾和展望[J].自动化学报,2009,35(6):650-667.
[9]潘庭龙,孙承奇,纪志成,等.数据驱动的变速变桨风能转换系统恒功率控制[J].南京理工大学学报(自然科学版),2015,39(1):115-121.
[10]胡耀华,贾欣乐.广义预测控制综述[J].信息与控制,2000,29(3):248-256.
[11]于广琛.风电优先调度下的广义预测控制策略[D].北京:华北电力大学,2015.
[12]李泰,侯小燕,林鹤云.基于Hammerstein-Wiener模型的广义预测控制[J].系统工程与电子技术,2015,37(8):1874-1879.
[13] Zhu H,Ni Q,Zeng M. A quasi-Newton trust regionmethod based on a new fractional model[J]. NumericalAlgebra Control&Optimization,2015,5(3):237-249.
[14]黄石,冯蒙霜.拟牛顿信赖域法在非线性状态估计中的应用[J].广东电力,2016,29(2):70-75.
[2]邢钢,郭威.风力发电机组变桨距控制方法研究[J].农业工程学报,2008,24(5):181-186.
[3]王宏,刘贤贺.随机波浪载荷作用下海洋平台结构动力响应分析[J].船舶职业教育,2016,4(4):28-31.
[4]Sajjad F,TaiebatMahdi,Liam F D. Group reduction fac-tors for analysis of laterally loaded pile groups[J]. Canadi-an Geotechnical Journal,2014,51(7):758-769(12).
[5]李春兰,曹成帅,汪泽,等.减小风剪、塔影和湍流效应的独立变桨控制研究[J].科学技术与工程,2016,16(16):64-69.
[6]Tang C Y,Guo Y,Jiang J N. Nonlinear dual-mode con-trol of variable-speed wind turbines with doubly fed induc-tion generators[J]. Control System Technology,2010,18(6):1-13.
[7]崔双喜,王维庆,张新燕.大型风力发电机组无模型独立变桨载荷控制[J].电力系统保护与控制,2013(5):54-59.
[8]侯忠生,许建新.数据驱动控制理论及方法的回顾和展望[J].自动化学报,2009,35(6):650-667.
[9]潘庭龙,孙承奇,纪志成,等.数据驱动的变速变桨风能转换系统恒功率控制[J].南京理工大学学报(自然科学版),2015,39(1):115-121.
[10]胡耀华,贾欣乐.广义预测控制综述[J].信息与控制,2000,29(3):248-256.
[11]于广琛.风电优先调度下的广义预测控制策略[D].北京:华北电力大学,2015.
[12]李泰,侯小燕,林鹤云.基于Hammerstein-Wiener模型的广义预测控制[J].系统工程与电子技术,2015,37(8):1874-1879.
[13] Zhu H,Ni Q,Zeng M. A quasi-Newton trust regionmethod based on a new fractional model[J]. NumericalAlgebra Control&Optimization,2015,5(3):237-249.
[14]黄石,冯蒙霜.拟牛顿信赖域法在非线性状态估计中的应用[J].广东电力,2016,29(2):70-75.