Control Strategy Study of DFIG with LVRT

被引：2
|
作者：
Yao, Xing-jia [1 ]
Liang, Li-zhe [1 ,2 ]
Chen, Hu [3 ]
Xing, Zuo-xia [1 ]
机构：
[1] Shenyang Univ Technol, Wind Energy Technol Res Inst, Shenyang, Peoples R China
[2] Liaoning Finance Vocat Coll, Dept Informat Technol, Shenyang, Peoples R China
[3] Shenyang China Creative Wind Energy Co Ltd, Shenyang, Peoples R China
来源：
ICEET: 2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 1, PROCEEDINGS | 2009年
关键词：
DFIG; LVRT; FRT; Excitation Control;
D O I：
10.1109/ICEET.2009.145
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In recent years,the proportion of the wind power in the grid is increasing rapidly. When the grids faults results in voltage decline,the widespread tripping of wind generators could lead to transient instabilities and local or overall blackouts. So it is concerned that the wind turbines merge into the grid and the request of the low voltage ride through (LVRT) ability is proposed. This paper analysises the transient responses of DFIG during grid fault, and then the three LVRT methods of DFIG are presented, Excitation Control strategy is mainly discussed. The model and the strategy of Excitation Control are implemented in the power system simulation tool Matlab/Simulink. The control algorithm was implemented in the existing motor control unit without any additional hardware cost. The controller was successfully tested in a test. The effect is good.
引用
收藏
页码：572 / +
页数：2
相关论文
共 50 条
  • [1] A DFIG control strategy and fault characteristic analysis for improving LVRT capability
    Liu, Hongjin
    Yang, Bingyuan
    Liang, Jiayu
    Cai, Wenchao
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (04): : 445 - 453
  • [2] A novel control strategy for enhancing the LVRT and voltage support capabilities of DFIG
    Shen, Yangwu
    Zhang, Bin
    Liang, Liqing
    Cui, Ting
    [J]. INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2017), 2018, 121
  • [3] Adaptive deactivating control strategy of Crowbar for LVRT capability enhancement of DFIG
    Jiang, Huilan
    Zhou, Tao
    Jia, Yanqi
    Chen, Juan
    Zhang, Chi
    Zhou, Zhaoqing
    Xue, Jingwei
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2018, 38 (09): : 93 - 98
  • [4] Research on an Improved Control Strategy for Enhancing LVRT Ability of DFIG System
    Meng, YanFeng
    Hu, Shuju
    Xu, HongHua
    [J]. ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 467 - 471
  • [5] A Novel LVRT Control Strategy of DFIG based Rotor Active Crowbar
    Zhang, Lu
    Jin, Xinmin
    Zhan, Liangyu
    [J]. 2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [6] A Study on the Technology of LVRT for DFIG
    Zhou, Xuesong
    Ma, Cheng
    Gao, Zhiqiang
    Ma, Youjie
    Zhang, Xudong
    Zhang, Jingping
    [J]. PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 4975 - 4979
  • [7] LVRT Control Strategy for Asymmetric Faults of DFIG Based on Improved MPCC Method
    Ding, Can
    Chen, Yunwen
    Nie, Taiping
    [J]. IEEE ACCESS, 2021, 9 : 165207 - 165218
  • [8] Nonlinear Control Strategy for Wind Turbine Based on DFIG to Enhance the LVRT Capability
    Reddak, Moussa
    Berdai, Abdelmajid
    Gourma, Anass
    Nouaiti, Ayoub
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 16), 2016, : 520 - 524
  • [9] Enhanced LVRT Control Strategy for DFIG-Based WECS in Weak Grid
    Abulanwar, S.
    Chen, Zhe
    Iov, F.
    [J]. 2013 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2013, : 476 - 481
  • [10] Simulation of LVRT strategy for DFIG wind power system
    Zhu, Ying
    Li, Jianlin
    Zhao, Bin
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2010, 30 (06): : 20 - 24
12345