Adaptive Multi-objective Sliding Mode Control of a Wind Energy Conversion System Involving Doubly Fed Induction Generator for Power Capture Optimization

被引:5
|
作者
Noussi, Karim [1 ]
Abouloifa, Abdelmajid [2 ]
Giri, Fouad [3 ]
Katir, Hanane [1 ]
Lachkar, Ibtissam [2 ]
Aourir, Meriem [1 ]
Aouadi, Chaouqi [1 ]
Guerrero, Josep M. [4 ]
机构
[1] Univ Hassan 2, Fac Sci Ben Msick, LTI Lab, Casablanca, Morocco
[2] Univ Hassan 2, ENSEM Casablanca, ESE Lab, Casablanca, Morocco
[3] UNICAEN, Normandie Univ, ENSICAEN, LAC, F-14000 Caen, France
[4] AAU, Dept Energy Technol, DK-9220 Aalborg, Denmark
关键词
Adaptive SMC; DFIG; Lyapunov stability; Powers control; Wind energy conversion system (WECS); NONLINEAR CONTROL; DFIG; TURBINE; EXTRACTION;
D O I
10.1007/s40313-021-00797-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the problem of controlling wind energy conversion systems that are based on doubly fed induction generators. The aim is to design a nonlinear controller to fulfill the control goals considering the two sides, grid and rotor side. On the rotor side, the control objectives are twofold: (i) ensuring the maximum power point tracking requirement and (ii) maintaining the stator reactive power at a desired reference. On the grid side, we also seek the achievement of two control objectives: (i) regulating the DC-link voltage at a given reference value and (ii) ensuring a zero reactive power. Besides the multi-objective nature of this study, the difficulty of the control problem lies in the nonlinearity and uncertainty of the system dynamics and external disturbances. The control problem under consideration is dealt with by designing a model-based controller using the adaptive sliding mode technique. The stability and performances of the closed-loop control system are analyzed both theoretically and by numerical simulations. The latter are performed using 2MW grid-connected wind turbine system in MATLAB/SIMULINK/SimPowerSystems environment. The simulation results confirm that the suggested controller meets its objectives and features robustness properties.
引用
收藏
页码:1663 / 1677
页数:15
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