Open AccessSuper-twisting SMC for MPPT and grid-connected WECS based on SCIG
Author(s) -
Bouhenna Amina,
Mohammed Khodja,
Merabet Boulouiha Houari
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.i1.pp520-531
Subject(s) - control theory (sociology) , maximum power point tracking , computer science , robustness (evolution) , matlab , grid , wind power , sliding mode control , parametric statistics , maximum power principle , induction generator , voltage , mathematics , engineering , control (management) , physics , nonlinear system , biochemistry , chemistry , geometry , statistics , inverter , artificial intelligence , quantum mechanics , electrical engineering , gene , operating system
This paper proposes a high-order sliding mode control (HO-SMC) with the super-twisting (ST) algorithm for maximum power point tracking (MPPT) and grid-connected wind energy conversion system (WECS), based on squirrel-cage induction generator (SCIG). The main features of this control strategy are attenuation of the chattering phenomenon inherent in first-order sliding mode control and its robustness against external and internal disturbances encountered by the wind power system. The simulation is carried out under SimPowerSystems of MATLAB/Simulink to evaluate the performance and effectiveness of the proposed control compared with conventional and fuzzy logic proportional-integral (PI) controllers for three different scenarios of disturbances, a fluctuating wind speed, a grid voltage drop, and parametric variations.