Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2015, Vol. 55 Issue (11): 1171-1177    DOI: 10.16511/j.cnki.qhdxxb.2015.21.018
  自动化 本期目录 | 过刊浏览 | 高级检索 |
最大功率跟踪控制下大型风电机组的轴系扭振分析及抑制
杨文韬1, 耿华1, 肖帅2, 杨耕1
1. 清华大学自动化系, 北京 100084;
2. 北京控制工程研究所, 北京 100190
Analysis and suppression for shaft torsional vibrations in large wind turbines with MPPT control
YANG Wentao1, GENG Hua1, XIAO Shuai2, YANG Geng1
1. Department of Automation, Tsinghua University, Beijing 100084, China;
2. Beijing Institute of Control Engineering, Beijing 100190, China
全文: PDF(1266 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 随着风电机组向大型化和轻量化发展,机组传动轴扭振现象加剧,风机轴系扭振的研究变得越来越重要。该文分析了3种常用的风机最大功率跟踪控制方法下系统轴系扭振模态,发现利用发电机转速反馈的不同控制方法,都能够提升传动轴阻尼。据此提出了一种最大功率跟踪控制的改进方法,该方法在原有转矩指令的基础上叠加了传动轴扭振抑制指令,在保证最大功率跟踪的同时抑制了风机传动轴扭振。通过软件仿真,验证了上述理论分析以及改进方法的有效性。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
杨文韬
耿华
肖帅
杨耕
关键词 大型风电机组最大功率跟踪传动轴扭振    
Abstract:As wind turbines become larger and lighter, they are experiencing more severe shaft torsional vibrations. Therefore, the suppression of turbine shaft torsional vibrations is becoming more important. This paper compares three common maximum power point tracking(MPPT) control algorithms. All three methods use generator speed feedback to enhance the drive shaft damping. An advanced conventional MPPT control method was then developed with an extra order added to the MPPT command to suppress shaft torsional vibrations. The result suppresses the torsion vibrations of the drive shaft, while ensuring that the wind turbines work at the maximum power point. Simulations verify the effectiveness of the theoretical analyses and this method.
Key wordslarge wind turbines    maximum power point tracking    drive shaft    torsion vibration
收稿日期: 2014-11-13      出版日期: 2015-12-01
ZTFLH:  TM641  
  TM315  
通讯作者: 杨耕,教授,E-mail:yanggeng@tsinghua.edu.cn     E-mail: yanggeng@tsinghua.edu.cn
引用本文:   
杨文韬, 耿华, 肖帅, 杨耕. 最大功率跟踪控制下大型风电机组的轴系扭振分析及抑制[J]. 清华大学学报(自然科学版), 2015, 55(11): 1171-1177.
YANG Wentao, GENG Hua, XIAO Shuai, YANG Geng. Analysis and suppression for shaft torsional vibrations in large wind turbines with MPPT control. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1171-1177.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2015.21.018  或          http://jst.tsinghuajournals.com/CN/Y2015/V55/I11/1171
  图1 功率系数与叶尖速比、桨距角的函数关系图
  图2 风机第二工作区转速闭环控制方法系统框图
  表1 仿真采用的风机参数
  图3 不同控制器参数对转速闭环系统特征值实部的影响
  图4 风机第二工作区功率闭环控制方法系统框图
  图5 不同控制器参数对功率闭环系统特征值实部的影响
  图6 CPλ比函数关系
  图7 加入扭振抑制器的MPPT控制系统框图
  图8 改进后的最优转矩法工作原理
  表2 不同反馈信号和控制方法下系统特征值
  表3 电机转速反馈下不同控制方法对应系统阻尼
  图9 湍流风速下最优转矩控制系统响应
  图10 湍流风速下改进后的最优转矩控制系统响应
[1] Moor G D,Beukes H J. Maximum power point trackers for wind turbines[C]//Power Electronics Specialists Conference. Aachen, Germany:IEEE Press, 2004, 3:2044-2049.
[2] Ermis M, Ertan H B, Akpinar E, et al. Autonomous wind energy conversion system with a simple controller for maximum-power transfer[J]. IEEE Transactions on Electric power applications, 1992, 139(5):421-428.
[3] Johnson K E,Pao L Y, Balas M J, et al. Control of variable-speed wind turbines:standard and adaptive techniques for maximizing energy capture[J]. IEEE Control Systems, 2006, 26(3):70-81.
[4] 刘桦. 风电机组系统动力学模型及关键零部件优化研究[D]. 重庆:重庆大学, 2009.LIU Ye. Study on Systematic Dynamic Model and Key Part Optimization Analysis for Wind Turbine[D]. Chongqing:Chongqing University, 2009.(in Chinese)
[5] 刘曙源. 智能风机是什么[J]. 风能, 2014(7):22-23.LIU Shuyuan. What is intelligent wind turbine[J]. Wind Energy, 2014(7):22-23.(in Chinese)
[6] Bossanyi E A. Wind turbine control for load reduction[J]. Wind Energy, 2003, 6(3):229-244.
[7] 王晓东. 大型双馈风电机组动态载荷控制策略研究[D]. 沈阳:沈阳工业大学, 2011.WANG Xiaodong. Research on Dynamic Load Control Strategy of Large Scale Double Feed Wind Turbine[D]. Shenyang:Shenyang University of Technology, 2011.(in Chinese)
[8] Bossanyi E A. The design of closed loop controllers for wind turbines[J]. Wind Energy. 2000, 3:149-163.
[9] Burton T, Jenkins N, Sharpe D, et al. Wind Energy Handbook[M]. Chichester, England:John Wiley & Sons, 2011.
[10] Lee M J B Y J, Kendall L. Disturbance tracking control theory with application to horizontal axis wind turbines[C]//Proc AIAA/ASME Wind Energy Symp. Reno, NV, USA:AIAA Association, 1998, 1:95-99.
[11] Wang N, Johnson K E, Wright A D. Comparison of strategies for enhancing energy capture and reducing loads using LIDAR andfeedforward control[J]. IEEE Transactions on Control Systems Technology, 2013, 21(4):1129-1142.
[12] 金鑫, 钟翔, 谢双义, 等. 大型风力发电机转矩 LQR 控制及载荷优化[J]. 电力系统保护与控制, 2013, 41(6):93-98.JINXin, ZHONG Xiang, XIE Shuangyi, et al. Load reduction for large-scale wind turbine based on LQR torque control[J]. Power System Protection and Control, 2013, 41(6):93-98.(in Chinese)
[13] 张琛, 李征, 高强等. 双馈风电机组的不同控制策略对轴系振荡的阻尼作用[J]. 中国电机工程学报, 2013, 33(27):135-144. ZHANG Chen, LIZheng, GAO Qiang, et al. Damping effects on torsional oscillation of DFIG drive-chain using different control strategies[J]. Proceedings of the CSEE, 2013, 33(27):135-144.(in Chinese)
[14] Laks J H, Pao L Y, Wright A D. Control of wind turbines:Past, present, and future[C]//American Control Conference. St. Louis, MO, USA:IEEE Press, 2009:2096-2103.
[15] 杨淑英. 双馈型风力发电变流器及其控制[D]. 合肥:合肥工业大学, 2007.YANG Shuying. Converter and Control for Doubly Fed Induction Generator Based Wind Power Generation[D]. Hefei:Hefei University of Technology, 2007.(in Chinese)
[16] Buhl M L.MCrunch User's Guide for Version 1.00[M]. Golden, CO, USA:National Renewable Energy Laboratory, 2008.
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn