Maximum power point tracking control for a doubly fed induction generator wind energy conversion system based on multivariable adaptive supertwisting approach

被引:38
作者
Wang, Jie [1 ,2 ,3 ]
Bo, Didi [2 ]
Miao, Qing [3 ]
Li, Zhijun [2 ]
Wu, Xin [4 ]
Lv, Dianshun [4 ]
机构
[1] Hebei Univ Technol, State Key Lab Reliabil & Intelligence Elect Equip, Tianjin 300130, Peoples R China
[2] Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300130, Peoples R China
[3] Hebei Engn Res Ctr Control Technol, Tianjin 300130, Peoples R China
[4] JiangSu GuoKe Intelligent Elect Co Ltd, Suqian 226000, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Wind energy conversion system; Maximum power point tracking; Super-twisting sliding mode control; Adaptive control; Finite-time stability; SLIDING-MODE CONTROL; REACTIVE POWER; TURBINES; PERFORMANCE; TORQUE; OPTIMIZATION; EXTRACTION; EFFICIENCY; ALGORITHM; MACHINES;
D O I
10.1016/j.ijepes.2020.106347
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 aims to design a multivariable super-twisting control scheme of doubly-fed induction generator (DFIG) based wind energy conversion system (WECS) to achieve maximum power point tracking (MPPT). Considering the complexity of the structures and parameters of the nonlinear system, the adaptive algorithm is employed to suppress the parametric uncertainty and external perturbations effectively without the information of upper bounds in advance. The proposed controller is able to achieve smooth regulation of both active and reactive powers quantities to track the optimal powers in finite time. In addition, the novel Lyapunov function is constructed to proof the finite-time convergence of the system. The simulation is carried out by Matlab/Simulink software to verify the strong robustness and self-adaptation of the proposed method.
引用
收藏
页数:8
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