期刊文献+

新型小波分析方法在风力发电机特殊状态下的应用研究

Application Research of New Wavelet Analysis Method for Special Status of Wind Turbines
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摘要 为了提高风力发电机的电能质量,减小风力发电机在发电过程中的桨叶载荷,提高变桨距执行机构的性能,采用小波分析对风力发电机进行了分析、阈值化与重构,同时对桨叶根部载荷和统一变桨控制器执行机构性能进行分析与评估。以FAST模型为基础在标准风速下对统一变桨风力发电机进行的仿真分析结果表明:小波分析方法能够减少风力发电机发出功率的谐波含量,能够对桨叶载荷进行提前预估,且独立变桨控制器的跟踪效果较好。 In order to improve power quality of wind turbines and to reduce their blade load as well as improve the performance of their variable-pitch actuators,the wavelet analysis method was adopted to analyze the wind turbines,thresholding and reconstruction,including the blade root's load and the performance of variablepitch control actuator. Having FAST model based to simulate the wind turbine which boasting of collective pitch control at the standard wind speed shows that the wavelet analysis method can reduce harmonic content of wind turbine's power produced and can estimate the blade load in advance along with an excellent tracking effect of the independent blade.
作者 陈洁
出处 《化工自动化及仪表》 CAS 2016年第2期167-172,共6页 Control and Instruments in Chemical Industry
关键词 小波分析 风力发电机 独立变桨 桨距角 桨叶载荷 电能质量 wavelet analysis wind turbine independent blade pitch angle blade load power quality
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参考文献6

  • 1K. Selvam,S. Kanev,J.W. van Wingerden,T. van Engelen,M. Verhaegen.Feedback-feedforward individual pitch control for wind turbine load reduction. Int. J. Robust Nonlinear Control . 2009
  • 2邢作霞,陈雷,孙宏利,王哲.独立变桨距控制策略研究[J].中国电机工程学报,2011,31(26):131-138. 被引量:36
  • 3顾洁.应用小波分析进行短期负荷预测[J].电力系统及其自动化学报,2003,15(2):40-44. 被引量:37
  • 4H.M. Hassan,A.L. ElShafei,W.A. Farag,M.S. Saad.??A robust LMI-based pitch controller for large wind turbines(J)Renewable Energy . 2012
  • 5A. Staino,B. Basu,S.R.K. Nielsen.??Actuator control of edgewise vibrations in wind turbine blades(J)Journal of Sound and Vibration . 2011 (6)
  • 6H. Namik,K. Stol.??Performance analysis of individual blade pitch control of offshore wind turbines on two floating platforms(J)Mechatronics . 2010 (4)

二级参考文献16

  • 1任震,黄雯莹,何建军,石志强,杨桦,杨浩.小波分析及其在电力系统中的应用(一)概论[J].电力系统自动化,1997,21(1):5-7. 被引量:39
  • 2Trkhk S Z, Duran A. Progress and recent trends in wind energy[J]. Progress in Energy and Combustion Science, 2004, 30(5): 501-543.
  • 3Selvam 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.
  • 4Van 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.
  • 5Kallesoe B S. A low-order model for analysing effects of blade fatigue load control[J]. Wind Energy, 2006, 9(5): 421-436.
  • 6Van 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.
  • 7Hansen M, Thomsen K, Fuglsang P, et al. Two methods for estimating aeroelastic damping of operational wind turbine modes from experiments[J]. Wind Energy, 2006, 9(2): 179-191.
  • 8Bianchi F, Mantz R, Christiansen C. Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models[J] . Control Engineering Practice, 2005, 13(2): 247-255.
  • 9Stol K, Balas M. Periodic disturbance accommodating control for blade load mitigation in wind turbines [J]. Journal of Solar Energy Engineering, 2003, 125(4): 379-385.
  • 10Geyler M, Caselitz P. Individual blade pitch control design for load reduction on large wind turbines[C]// Proceedings of the European Wind Energy Conference, Italy, Milan, 2007.

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