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基于LQG的独立变桨控制技术对风电机组气动载荷影响研究 被引量:26

Dynamics Loads Optimization Analysis of Wind Turbine Based on LQG Independent Pitch Control
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摘要 基于多体动力学理论建立风力发电机组动力学模型,针对风轮载荷分布不均问题,在传统变桨距控制策略的基础上,提出基于线性二次高斯算法(LQG)的独立变桨距控制策略,并在Matlab/Simulink中构建控制模型,实现风力机系统的联合仿真,对提出的控制策略与传统的变桨控制策略进行仿真比较。研究结果表明:文中提出的独立变桨控制技术不仅可以实现功率控制,而且有效地降低了风电机组关键部件的疲劳载荷。在载荷优化方面比传统PI控制器效果更明显,更适合大型风电机组变桨距控制。 Multi-body dynamics model of wind turbine was build based on multi-body dynamics theory. Against the problem of uneven load distribution for wind turbine rotor, based on the traditional pitch control strategy, Individual pitch control algorithm was proposed based on the linear quadratic Gaussian(LQG); building control model in Simulink, achieving wind turbine system co-simulation, and compare with traditional control strategy. The results show that: LQG independent pitch control technology not only can achieve power control, but also effectively reduce fatigue load of key components. LQG controller has better performance than conventional PI controller, dynamic load Optimization is more effectively, more suitable for large-scale wind turbine pitch control.
出处 《中国电机工程学报》 EI CSCD 北大核心 2016年第22期6164-6170,共7页 Proceedings of the CSEE
基金 国家自然科学基金(51005255 51405052) 重庆市基础与前沿研究计划一般项目CQCSTC(cstc2013jcyja90018) 中央高校基本科研业务费项目(NO.106112015CDJXY110006)~~
关键词 风力发电 多体动力学 联合仿真 独立变桨 疲劳载荷 线性二次高斯算法(LQG) wind power generation multi-body dynamics co-simulation technology independent pitch fatigue load linear quadratic Gaussian(LQG)
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  • 1陈严,欧阳高飞,伍海滨,叶枝全.变转速风力机的动态模型与随机载荷下的动态分析[J].太阳能学报,2004,25(6):723-727. 被引量:10
  • 2林勇刚,李伟,陈晓波,顾海港,叶杭冶.大型风力发电机组独立桨叶控制系统[J].太阳能学报,2005,26(6):780-786. 被引量:62
  • 3姚兴佳,刘光德,邢作霞,王超.大型变速风力发电机组总体设计中的几个问题探讨[J].沈阳工业大学学报,2006,28(2):196-201. 被引量:33
  • 4Jelavic M, Petrovic V, Peric N. Individual pitch control of wind turbine based on loads estimation [ C ]//34th Annual Conference of IEEE-IECON. Orlando, 2008: 228 - 234.
  • 5Shigeo M, Hideaki N, Masayuki S. Sensorless output maximization control for variable-speed wind genera- tion system using IPMSG [ J ].IEEE Transactions on Industry Applications ,2005,41 ( 1 ) :60 -67.
  • 6Trkhk S Z, Duran A. Progress and recent trends in wind energy[J]. Progress in Energy and Combustion Science, 2004, 30(5): 501-543.
  • 7Selvam K, Kan S, Wingerden J W, et al. Feedback-feedforward individual pitch control for wind turbine load reduction[J]. International Journal of Robust and Nonlinear Control, 2009, 19(1): 72-91.
  • 8Van Engelen T. Control design based on aero- hydroservo-elastic linear models from TURBU (ECN)[C]// Proceedings of the European Wind Energy Conference, Mila, Italy, 2007: 7-10.
  • 9Kallesoe B S. A low-order model for analysing effects of blade fatigue load control[J]. Wind Energy, 2006, 9(5): 421-436.
  • 10Van Engelen T, Schaak P. Oblique inflow model for assessing wind turbine controllers[C]//Proceedings of the 2^nd Conference on the Science of Making Torque from Wind, Denmark, 2007: 241-246.

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