TS-fuzzy controlled DFIG based Wind Energy Conversion Systems

被引:0
|
作者
Mishra, S. [1 ]
Mishra, Y. [2 ,3 ]
Li, Fangxing [4 ]
Dong, Z. Y. [5 ]
机构
[1] Indian Inst Technol Delhi, Dept Elect Engn, Delhi, India
[2] Univ Queensland, IEEE, Brisbane, Qld 4072, Australia
[3] Univ Tennessee, Knoxville, TN 37996 USA
[4] Univ Tennessee, Dept Elect Engn, Knoxville, TN 37996 USA
[5] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
关键词
Doubly Fed Induction Generator (DFIG); Wind Turbine (WT); dynamic system stability; TS fuzzy controller; damping controller; FED INDUCTION GENERATOR; POWER-SYSTEMS; LOGIC;
D O I
暂无
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
This paper focuses on the implementation of the TS (Tagaki-Sugino) fuzzy controller for the active power and the DC capacitor voltage control of the Doubly Fed Induction Generator (DFIG) based wind generator. DFIG system is represented by a third-order model where electromagnetic transients of the stator are neglected. The effectiveness of the TS-fuzzy controller on the rotor speed oscillations and the DC capacitor voltage variations of the DFIG damping controller on converter ratings of the DFIG system is also investigated. The results of the time domain simulation studies are presented to elucidate the effectiveness of the TS-fuzzy controller compared with conventional PI controller in the DFIG system. The proposed TS-fuzzy controller can improve the fault ride through capability of DFIG compared to the conventional PI controller.
引用
收藏
页码:815 / +
页数:2
相关论文
共 50 条
  • [21] Fault Analysis of PI and Fuzzy-Logic-Controlled DFIG-based Grid-Connected Wind Energy Conversion System
    Ganthia B.P.
    Barik S.K.
    Journal of The Institution of Engineers (India): Series B, 2022, 103 (02) : 415 - 437
  • [22] Experimental Investigation of DFIG-based Wind Energy Conversion System Using Fuzzy Logic Control
    Hallouz M.
    Kabeche N.
    Moulahoum S.
    Kechidi Z.
    Periodica polytechnica Electrical engineering and computer science, 2023, 67 (03): : 260 - 267
  • [23] Flicker Assessment of Grid Connected DFIG for Wind Energy Conversion Systems
    Matharu, Satnam Singh
    Bhalla, Sanjeev Kumar
    Jarial, R. K.
    2013 INTERNATIONAL CONFERENCE ON POWER, ENERGY AND CONTROL (ICPEC), 2013, : 607 - 612
  • [24] Analysis of Self-Compensating DFIG for Wind Energy Conversion Systems
    DanVu Nguyen
    Fujita, Goro
    2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC), 2013,
  • [25] Coordinated Control of Wind Energy Conversion Systems for Mitigating Subsynchronous Interaction in DFIG-Based Wind Farms
    Karaagac, Ulas
    Faried, Sherif O.
    Mahseredjian, Jean
    Edris, Abdel-Aty
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (05) : 2440 - 2449
  • [26] Energy-based modelling and control of wind energy conversion system with DFIG
    Song, H. H.
    Qu, Y. B.
    INTERNATIONAL JOURNAL OF CONTROL, 2011, 84 (02) : 281 - 292
  • [27] Energy-based coordinated control of wind energy conversion system with DFIG
    Qu, Y. B.
    Song, H. H.
    INTERNATIONAL JOURNAL OF CONTROL, 2011, 84 (12) : 2035 - 2045
  • [28] TS-fuzzy modeling based on ε-insensitive smooth support vector regression
    Ji, Rui
    Yang, Yupu
    Zhang, Weidong
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2013, 24 (04) : 805 - 817
  • [29] An adaptive RST fuzzy logic and an adaptive PI fuzzy logic controllers of a DFIG in Wind Energy Conversion
    Abdallah, Abdelkader
    Chaker, Abdelkader
    Allaoui, Tayeb
    PRZEGLAD ELEKTROTECHNICZNY, 2021, 97 (11): : 11 - 20
  • [30] Enhancement of Oscillatory Response of DFIG based Wind Energy Conversion System
    Raj, K. Reethika
    Mahalakshmi, R.
    2017 INTERNATIONAL CONFERENCE ON SMART GRIDS, POWER AND ADVANCED CONTROL ENGINEERING (ICSPACE), 2017, : 93 - 98