Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

Abstract

A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC).

RETRACTED: Optimization of doubly-fed induction generator (DFIG) based wind turbine to achieve maximum power generation with imperialist competitive algorithm (ICA)

“…In the above relations, λ ds , λ qs , λ dr , λ qr are the stator and rotor flux of dq axes, respectively. By ignoring the 0 axis of this model and placing the relation 5 to 8 in relation 1 to 4, the relations 9, 10, 11 and 12 can be obtained 13,14,28,31 :…”

“…V ds = r s i ds − ω s L s i qs − ω s L m i qr (18) V qs = r s i qs + ω s L s i ds + ω s L m i dr (19) From Equations ( 18) and ( 19), i ds and i qs of stator currents can be obtained as a function of rotor currents. relation 20 can be obtained 13,14,28 :…”

“…the rotor voltage relation of ( 22) and ( 23) can be considered as relation 24 and 25 [13,14,28,34] :…”

“…Since the rotor and stator windings are symmetrical to each other, the Zero (0) axis of this model can be omitted. Therefore, the expression of rotor and stator voltages in of Direct-Quadrature (dq) axes can be considered according to relations 1, 2, 3, and 4 27,28 :…”

Influence of interval type-2 fuzzy control approach for a grid-interconnected doubly-fed induction generator driven by wind energy turbines in variable-speed system

“…The following equation describes how wind speed (v w ) relates to the recovered power by the turbine extracted from kinetic energy of the wind (P m ) [23]:…”