Fuzzy High Order Sliding Mode Control Based DPC of DFIG using SVM

Mazouz, F.; Belkacem, Sebti; Çolak, İlhami

doi:10.1109/icsmartgrid52357.2021.9551262

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…The use of GA led to a significant improvement in the performance of the FL, and this is noted through the obtained results compared to the DPC, where the use of FL-GA technique in the DPC led to the reduction of the Q s and P s ripples and the reduction of the THD value of current coming out of the stator of the generator. In Farida et al, 48 FL technique and high-order SMC are combined to create a robust and highly efficient controller to overcome the problem and drawbacks of a DFIG-based wind power generation system. The use of this combination of two different controllers greatly improves the robustness of the system while reducing the chatter phenomenon present in the SMC which is desirable.…”

Section: Introductionmentioning

confidence: 99%

Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

Benbouhenni,

Colak,

Bizon

et al. 2023

Measurement and Control

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Energy ripples are among the common problems in renewable energies as a result of using less efficient strategies. In this work, a new technique is suggested to control a doubly-fed induction generator (DFIG) using the pulse width modulation (PWM). The new technique is based on the combination of neural networks and fractional-order control to minimize the reactive and active power ripples of the DFIG-based variable speed dual-rotor wind turbine system. The suggested fractional-order neural control (FONC) with the PWM is a simple, robust and a high-performance strategy. Simulation is performed using Matlab software to validate the effectiveness of the designed control of 1.5 MW DFIG and the obtained results are compared with the traditional direct power control (DPC) in different working conditions. In addition, the comparison between the suggested control and the DPC is performed in the cases of changing or not changing the device parameters in terms of ripple ratio, dynamic response, steady-state error, current quality, and overshoot of active and reactive power of the DFIG. As compared to the DPC, the proposed FONC technique improves the active and reactive power ripples by 65.71% and 84.74%, respectively. Also, improves the overshoot of the active and reactive power by 71.33% and 91.72%, respectively. The simulation results demonstrate the high performance and robustness of the FONC technique for the parametric variations of the DFIG-based variable speed dual-rotor wind turbine system compared to the DPC control.

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Section: Introductionmentioning

confidence: 99%