全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电网技术  2011 

双馈感应发电机转速的非线性模型预测控制

, PP. 159-163

Keywords: 双馈感应发电机,转速控制,非线性模型预测控制,风力发电,支持向量机,最大风能捕获

Full-Text   Cite this paper   Add to My Lib

Abstract:

风力发电机组工作在额定风速以下时为了获取最大风能,须调节发电机转速使其迅速地跟踪上不断变化的最佳转速。本文以变速恒频双馈风力发电机组为研究对象,研究了双馈感应发电机(DFIG)的转速控制问题。由于DFIG机理模型相当复杂,而且其电气参数随工况点的变动而变化,因此基于机理模型的控制算法实现起来比较复杂,控制效果和鲁棒性不是很理想。本文采用非线性智能模型预测控制算法,实现了对DFIG转速的控制。在实验平台上对本文的控制算法和基于RBF神经网络的非线性预测控制算法进行了对比试验。结果表明与后者相比,本文采用的控制算法具有较好的抗干扰能力和泛化能力,能够使DFIG的转速迅速地跟踪上最佳转速。实验验证了该控制算法的有效性。

References

[1]  李辉,何蓓.双馈风力发电系统的最大风能控制策略[J].太阳能学报,2008,29(7):797-803.
[2]  Li Hui,He Bei.Control strategy of maximizing the wind energy for wind turbines with a dfig[J].Acta Energiae Solaris Sinica,2008,29(7):797-803(in Chinese).
[3]  胡家兵,贺益康,刘其辉.基于最佳功率给定的最大风能追踪控制策略[J].电力系统自动化,2005,29(24):32-38.
[4]  Hu Jiabing,He Yikang,Liu Qihui.Optimized active power reference based maximum wind energy tracking control strategy[J].Automation of Electric Power Systems,2005,29(24):32-38(in Chinese).
[5]  杨金明,吴捷,董萍,等.基于无源性理论的风力机最大风能捕获控制[J].太阳能学报,2003,24(5):724-728.
[6]  Yang Jinming,Wu Jie,Dong Ping,et al.Maximun wind energy capture control with passivity-based theory[J].Acta Energiae Solaris Sinica,2003,24(5):724-728(in Chinese).
[7]  张文娟,高勇,杨媛.基于风力机参数辨识的最大风能捕获[J].电网技术,2009,33(17):152-156.
[8]  Zhang Wenjuan,Gao Yong,Yang Yuan.Maximal wind energy capture based on parameter identification of wind turbine[J].Power System Technology,2009,33(17):152-156(in Chinese).
[9]  邹旭东,赵阳,柳彬,等.独立运行双馈发电机矢量控制技术研究[J].中国电机工程学报,2007,27(12):72-76.
[10]  Zou Xudong,Zhao Yang,Liu Bin,et al.Research on vector control for stand-alone doubly fed generator[J].Proceedings of the CSEE,2007,27(12):72-76(in Chinese).
[11]  沈艳霞,林瑾,纪志成.自适应反步法感应电机控制器的设计和仿真研究[J].系统仿真学报,2006,18(2):451-455.
[12]  Shen Yanxia,Lin Jin,Ji Zhicheng.Design and simulation research for controller of induction motor by adaptive backstepping method [J].Journal of System Simulation,2006,18(2):451-455(in Chinese).
[13]  Boukas T K,Habetler T G.High-performance induction motor speed control using exact feedback linearization with state and state derivative feedback[J].IEEE Trans on Power Electronics,2004,19(4):1022-1028.
[14]  Battista H De,Puleston P F,Mantz R J,et al.Sliding mode control of wind energy systems with DFIG-power efficiency and torsion dynamics optimization[J].IEEE Trans on Power Systems,2000,15(2):728-734.
[15]  Guo Hongxia,Yang Jinming,Liu Wengang.PID neural network control of brushless doubly-fed machine[J].Control Theory & Applications,2008,25(1):53-56(in Chinese).
[16]  卢强,孙元章,沈沉,等.面向目标的FACTS设备智能预估控制方法(一)[J].电网技术,1998,22(4):6-12.
[17]  Lu Qiang,Sun Yuanzhang,Shen Chen,et al.Target oriented intelligent predictive evaluating control method for FACTS devices (Part 1)[J].Power System Technology,1998,22(4):6-12(in Chinese).
[18]  Li Zhengqiang,ZhangYizhe,Deng Jianhua,et al.Design scheme of a nonlinear flight control system based onmodel predictive control [J].Flight Dynamics,2009,27(1):27-29(in Chinese).
[19]  Chalimourda A,Scholkopf B,Smola A.Experimentally optimal V in support vector regression for different noise models and parameter settings[J].Neural Networks,2004,17:127-141.
[20]  马珺,谢桦,童亦斌,等.双馈风力发电机最大风能追踪策略的研究[J].机械与电子,2009(2):3-6.
[21]  Ma Jun,Xie Hua,Tong Yibin,et al.Research on capture the maximum wind energy of wind generator with DFIG[J].Machinery & Electronics,2009(2):3-6(in Chinese).
[22]  柳明,柳文.基于风速和空气密度估计的最大风能捕获[J].电网技术,2009,33(1):56-60.
[23]  Liu Ming,Liu Wen.Maximized wind energy capture based on estimation of wind speed and air density[J].Power System Technology,2009,33(1):56-60(in Chinese).
[24]  张建忠,程明.基于非线性控制的永磁风力发电机最大风能跟踪[J].电网技术,2010,34(6):182-185.
[25]  Zhang Jianzhong,Cheng Ming.Maximum wind energy tracking of permanent magnet wind power generator based on non-linear controller[J].Power System Technology,2010,34(6):182-185(in Chinese).
[26]  杨维,李歧强.粒子群优化算法综述[J].中国工程科学,2004,6(5):87-94.
[27]  Yang Wei,Li Qiqiang.Survey on particle swarm optimization algorithm[J].Engineering Science,2004,6(5):87-94(in Chinese).
[28]  王琦,陈小虎,纪延超,等.基于双同步坐标的无刷双馈风力发电系统的最大风能追踪控制[J].电网技术,2007,31(3):82-87.
[29]  Wang Qi,Chen Xiaohu,Ji Yanchao,et al.Maximal wind energy tracing control for brushless doubly-fed wind turbine based on dual synchronous coordinates[J].Power System Technology,2007,31(3):82-87(in Chinese).
[30]  Boukezzar B,Mohamed M S.Robust sliding mode control of a DFIG variable speed wind turbine for power production optimization[C]//16th Mediterranean Conference on Control and Automation Congress Centre.Ajaccio:IEEE,2008:795-800.
[31]  杨顺昌,廖勇.交流励磁发电机参数变化时的解耦励磁控制[J].中国电机工程学报,1999,19(2):37-40.
[32]  Yang Shunchang,Liao Yong.Decoupled excitation control for acexcitation generators with parameter variation[J].Proceedings of the CSEE,1999,19(2):37-40(in Chinese).
[33]  宋春华,胡丹,柯坚.感应电机模糊预测控制策略的研究[J].系统仿真学报,2008,20(6):1639-1641.
[34]  Song Chunhua,Hu Dan,Ke Jian.Research on fuzzy prediction control technique for induction motor[J].Journal of System Simulation,2008,20(6):1639-1641(in Chinese).
[35]  赵辉,彭涛,岳有军,等.模糊自适应PID控制在无刷双馈电机矢量控制中的应用[J].天津理工大学学报,2008,24(3):36-39.
[36]  Zhao Hui,Peng Tao,Yue Youjun,et al.Application of fuzzy adaptive PID control strategy in BDFM vector control system[J].Journal of Tianjin University of Technology,2008,24(3):36-39(in Chinese).
[37]  郭红霞,杨金明,刘文刚.无刷双馈电机的PID神经网络控制[J].控制理论与应用,2008,25(1):53-56.
[38]  杨青,李树荣,成玲.催化裂化装置的非线性预测控制[J].石油大学学报,2005,29(3):139-143.
[39]  Yang Qing,Li Shurong,Cheng Ling.Nonlinear model predictive control of fluid catalytic cracking unit[J].Journal of the University of China Petroleum,2005,29(3):139-143(in Chinese).
[40]  李正强,张怡哲,邓建华,等.基于模型预测控制的非线性飞行控制系统研究[J].飞行力学,2009,27(1):27-29.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133