| 采用智能控制的DFIG风力发电系统 |
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| 引用本文： | 吴佳佳,卫志农,韩连山.采用智能控制的DFIG风力发电系统[J].电力系统及其自动化学报,2009,21(6). |
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| 作者姓名： | 吴佳佳 卫志农 韩连山 |
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| 作者单位： | 河海大学电气工程学院,南京,210098 |
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| 摘 要： | 引入智能控制方法以提高双馈感应发电机(DFIG)在低风速时捕获风能的性能,在高风速时输出功率满足运行要求.在低于额定风速时,采用模糊控制器控制风轮转速,从而获得最大风能利用系数;在高于额定速时,采用神经网络控制器控制桨距角,从而保持输出功率恒定.并利用Matlab/Simulink平台,对引进智能控制的风电系统和采用传统控制策略的风电系统进行了对比仿真研究,验证了智能控制的有效性.
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| 关 键 词： | 双馈感应发电机 变速恒频 模糊控制 神经网络 智能控制 |
DFIG Wind Generation System with Intelligent Control |
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| WU Jia-jia,WEI Zhi-nong,HAN Lian-shan.DFIG Wind Generation System with Intelligent Control[J].Proceedings of the CSU-EPSA,2009,21(6). |
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| Authors: | WU Jia-jia WEI Zhi-nong HAN Lian-shan |
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| Affiliation: | WU Jia-jia,WEI Zhi-nong,HAN Lian-shan(College of Electrical Engineering,Hohai University,Nanjing 210098,China) |
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| Abstract: | In order to improve the performance of capturing wind energy of double-fed induction generator(DFIG) at low wind speed and meet its operation requirement of output power at high wind speed,intelligent control is proposed in this paper.At low wind speed,based on fuzzy control,the rotational speed of the turbine is adjusted to get the maximum wind energy performance comfficient.At high wind speed,based on neural network control,pitch angle is adjusted to keep the rated output power.Simulation about the intell... |
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| Keywords: | double-fed induction generator(DFIG) variable speed constant frequency fuzzy control neural network intelligent control |
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