Open AccessPerformance improvement of the variable speed wind turbine driving a DFIG using nonlinear control strategies
Author(s) -
Hamid Chojaa,
Aziz Derouich,
T. Hallabi,
O. Zamzoum,
Mohammed Taoussi,
Salah Eddine Rhaili,
Oussama Boulkhrachef
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i4.pp2470-2482
Subject(s) - control theory (sociology) , robustness (evolution) , backstepping , total harmonic distortion , computer science , stator , wind power , maximum power point tracking , turbine , sliding mode control , robust control , induction generator , matlab , variable speed wind turbine , nonlinear system , control engineering , voltage , control system , engineering , adaptive control , inverter , permanent magnet synchronous generator , control (management) , artificial intelligence , chemistry , biochemistry , quantum mechanics , mechanical engineering , physics , electrical engineering , gene , operating system
In this research paper, a nonlinear Backstepping controller has been proposed in order to improve the dynamic performance of a doubly fed induction generator (DFIG) based Wind Energy conversion System, connected to the grid through a back-to-back converter. Firstly, an overall modeling of proposed system has been presented. Thereafter, three control techniques namely backstepping (BSC), sliding mode (SMC) and field-oriented control (FOC) using a conventional PI regulator have been designed in order to control the stator active and reactive powers of the DFIG. In addition, the maximum power point tracking (MPPT) strategy has been investigated in this work with three mechanical speed controllers: BSC, SMC and PI controller with the aim of making a synthesis and a comparison between their performances to determine which of those three techniques is more efficient to extract the maximum power. Finally, a thorough comparison between the adopted techniques for the DFIG control has been established in terms of response time, rise time, total harmonic distortion THD (%) of the stator current, static errors and robustness. The effectiveness and robustness of each control approach has been implemented and tested under MATLAB/Simulink environment by using a 1.5 MW wind system model.