Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Abstract

This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.

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

“…Echiheb et al 24 33.8 34.5 Benbouhenni et al 88 PWM is an excellent solution for a DFIG-based dualrotor wind turbine. Simulation results (related to tracking tests and robustness tests) clearly show good performances in power ripples, overshoot, and SSE compared to classical techniques, where the proposed strategy works to minimize the ripples of the active and reactive power by rates estimated at 65.71% and 85.74%, respectively, in the first test, and in the second test, the rates were estimated at 64.28% and 86.11% for each of the active and reactive power, respectively.…”

“…11 Also, the low quality of energy leads to an increase in the periodic maintenance and thus a high industrial cost, which is undesirable. 12 To improve the efficiency of the wind power generation system using DFIG, several new strategies have been put forward, which can be summarized as follows: synergetic control, 13 backstepping control, 14 sliding mode command (SMC), 15 passivity command, 16 predictive command 17 fractional-order command (FOC), 18 intelligent control, [19][20][21] high-order SMC, 22,23 backstepping-SMC control, 24 synergetic-SMC control, 25 synergetic-super-twisting algorithm, 26 and terminal synergetic control. 27 These controllers are highly efficient in improving DPC performance in reducing DFIG power ripples to some extent.…”

A review of wind energy potential in Morocco: New challenges and perspectives

“…Therefore, the writers also examined the various locations and determine which would best utilize wind energy. Based on the wind rose at different sites in the country, such as AL HOCEIMA, ASSILA, DAKHLA, ESSAOUIRA and southwest, particularly LAAYOUNE, wind performance was evaluated at various sites in Morocco (Figure 8) ( Echiheb et al, 2022 ; Majout et al, 2022a ).…”

A new integral-synergetic controller for direct reactive and active powers control of a dual-rotor wind system

“…In Table 9, a comparative study is carried out between the work done and published scientific works in terms of the ratios of ripple reduction, current, Ps, torque, and Qs, to find out the efficiency of the proposed strategy in improving energy quality. Through this table, the ISC-DARPC has high reduction rates compared to several proposed strategies in research work published in reportable scientific journals due to 70 Predictive torque control 1.73 Predictive polar flux control 0.74 Wadawa et al 71 PI control system 2.23 Hybrid control system 1.91 Echiheb et al 72 Sliding-backstepping mode control 0.87…”