A real-time Backstepping control strategy for a doubly fed induction generator based wind energy conversion system

Bouchiba, Nouha; Barkia, Asma; Sallem, Souhir; Chrifi‐Alaoui, Larbi; Drid, Saïd; Kammoun, Mba

doi:10.1109/icosc.2017.7958744

Cited by 6 publications

(1 citation statement)

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“…In the literature, several theories have been proposed to explain the effectiveness of backstepping control; in [12], a backstepping controller is developed for standalone DFIG to control the stator output voltage and fulfilling the demand energy variations and impact of wind velocity. In [13] the mechanical and electrical parts of the system are controller by rotor currents.…”

Section: Introductionmentioning

confidence: 99%

PSO-backstepping controller of a grid connected DFIG based wind turbine

Salarieh¹,

Badri²,

Zegrari³

et al. 2020

IJECE

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The paper demonstrates the feasibility of an optimal backstepping controller for doubly fed induction generator based wind turbine (DFIG). The main purpose is the extract of maximum energy and the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty. The maximum energy is obtained by applying an algorithm based on artificial bee colony approach. Particle swarm optimization is used to select optimal value of backstepping's parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance of the proposed control technique under uncertainty parameters is established by simulation results.

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Section: Introductionmentioning

confidence: 99%