Izvorni znanstveni članak
https://doi.org/10.32985/ijeces.13.5.4
Improved control for DFIG based wind power system under voltage dips using ADRC optimized by genetic algorithms
Noureddine Elmouhi
; Mohammed V University in Rabat, Ecole Nationale Supérieure d’Arts et Métiers (ENSAM), Research Center in Sciences and Technologies of Engineering and Health (STIS) Institut supérieur d’ingénierie et des affaires (ISGA Rabat), Laboratory of Innovation in Management and Engineering for Enterprise (LIMIE), Rabat, Morocco.
Ahmed Essadki
; Mohammed V University in Rabat, Ecole Nationale Supérieure d’Arts et Métiers (ENSAM), Research Center in Sciences and Technologies of Engineering and Health (STIS), Rabat, Morocco
Hind Elaimani
; Mohammed V University in Rabat, Ecole Nationale Supérieure d’Arts et Métiers (ENSAM), Research Center in Sciences and Technologies of Engineering and Health (STIS) Institut supérieur d’ingénierie et des affaires (ISGA Rabat), Laboratory of Innovation in Management and Engineering for Enterprise (LIMIE), Rabat, Morocco.
Sažetak
Many countries have focused on the study of the electrical energy production using wind generators. These studies include maintaining the production under disturbed conditions at the grid connection point of wind farms, and maintaining production during voltage dips. Electrical grid operators have established different requirements for connecting renewable energy production systems to electrical grids. In this research paper, we are interested in the study of the wind power system based on the Doubly Fed Induction Generator during a voltage dip. We are also developing a control approach based on Active Disturbance Rejection Control and Genetic Algorithms, which aims to control the stator flux variations which should be taken into account during the current controllers computing. This control strategy will allow the wind power system to remain connected to the grid under voltage dips, and to resume the normal operation after the fault disappearance. The model of the wind power system and the proposed control strategy, are tested in the MATLAB-Simulink software.
Ključne riječi
ADRC; DFIG Control; wind turbine; MPPT; wind energy; genetic algorithm; voltage dips
Hrčak ID:
281489
URI
Datum izdavanja:
15.7.2022.
Posjeta: 680 *