Perturbation Estimation Based Nonlinear Adaptive Power Decoupling Control for DFIG Wind Turbine

被引:38
|
作者
Shi, Kai [1 ,2 ]
Yin, Xin [1 ]
Jiang, Lin [1 ]
Liu, Yang [3 ]
Hu, Yihua [1 ]
Wen, Huiqing [4 ]
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
[2] Univ Warwick, Warwick Mfg Grp, Coventry CV4 7AL, W Midlands, England
[3] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
[4] Xian Jiaotong Liverpool Univ, Dept Elect Engn & Elect, Suzhou 215123, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Doubly fed induction generator based wind turbine (DFIG-WT); nonlinear adaptive control; perturbation estimation; power control; FED INDUCTION GENERATOR; VECTOR CONTROL; OBSERVER; SYSTEMS; TORQUE; MODEL;
D O I
10.1109/TPEL.2019.2911886
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a perturbation estimation based nonlinear adaptive power decoupling controller for doubly fed induction generator based wind turbines (DFIG-WTs). Perturbation states are defined to include the nonlinearities, uncertainties of the system model, the cross-coupling between control loops, and external disturbances. Perturbation observers are designed to estimate the fast time-varying perturbation states. With perturbation estimation, the DFIG-WT system is fully decoupled, and an output feedback control can be designed for the control of rotor currents. Rotor current references are calculated based on the steady-state relation between active/reactive power and rotor current, and stator dynamic is ignored. The performance of the proposed controller is evaluated and verified via both simulation and experimental tests.
引用
收藏
页码:319 / 333
页数:15
相关论文
共 50 条
  • [1] The system of nonlinear adaptive control for wind turbine with DFIG
    Medvedev, Mikhail
    Mazalov, Andrey
    EAI Endorsed Transactions on Energy Web, 2014, 1 (02) : 1 - 9
  • [2] Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization
    Boukhezzar, B.
    Siguerdidjane, H.
    ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (04) : 885 - 892
  • [3] Nonlinear Adaptive Power Control for DFIG-based Wind Turbine Under Unbalanced Network Conditions
    Shi, Kai
    Zhang, Chuan-Ke
    Zhou, Xin
    Jiang, Lin
    2016 IEEE 8TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC-ECCE ASIA), 2016,
  • [4] Estimation based Maximum Power Point Control of DFIG based Wind Turbine Systems
    Prajapat, Ganesh P.
    Bhui, Pratyasa
    Kumar, Pawan
    Varma, Shriram
    2019 IEEE PES GTD GRAND INTERNATIONAL CONFERENCE AND EXPOSITION ASIA (GTD ASIA), 2019, : 678 - 683
  • [5] Nonlinear predictive control of a DFIG-based wind turbine for power capture optimization
    Bektache, A.
    Boukhezzar, B.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 101 : 92 - 102
  • [6] Nonlinear Flatness-Based Decoupled Power Control of DFIG Wind Turbine System
    Osmanovic, Adnan
    Velagic, Jasmin
    Masic, Semsudin
    2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2018, : 686 - 691
  • [7] Direct Power Control of DFIG based Wind Turbine based on Wind Speed Estimation and Particle Swarm Optimization
    Hagh, M. T.
    Roozbehani, S.
    Najaty, F.
    Ghaemi, S.
    Tan, Y.
    Muttaqi, K. M.
    2015 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2015,
  • [8] Nonlinear control of wind power generation based on DFIG
    Guo, Jia-Hu
    Cai, Xu
    Gong, You-Min
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2009, 26 (09): : 958 - 964
  • [9] Adaptive observer-based fault estimation for a DFIG based wind turbine
    Awedni, Olfa
    Krichen, Lotfi
    2016 ELEVENTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2016,
  • [10] Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine
    Yang, Bo
    Jiang, Lin
    Wang, Lei
    Yao, Wei
    Wu, Q. H.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 74 : 429 - 436