A comparative study of rotor flux position- and stator flux position-based direct power control method in a DFIG wind turbine system

2014 ◽  
Author(s):  
Mona Valikhani ◽  
Constantinos Sourkounis
Keyword(s):  
Comparative Study ◽  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Direct Power ◽  
Direct Power Control ◽  
Wind Turbine System ◽  
Rotor Flux ◽  
Stator Flux

scholarly journals Performance analysis and enhancement of direct power control of DFIG based wind system

2021 ◽  
Vol 12 (2) ◽  
pp. 1034
Author(s):  
Mohamed Amine Beniss ◽  
Hassan El Moussaoui ◽  
Tijani Lamhamdi ◽  
Hassane El Markhi
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Reactive Power ◽  
Control Technique ◽  
Direct Power ◽  
Direct Power Control ◽  
Modeling And Control ◽  
Point Tracking ◽  
Wind Turbine System ◽  
Power Point

<span lang="EN-US">The paper proposes a complete modeling and control technique of variable speed wind turbine system (WTS) based on the doubly fed induction generator (DFIG). Two levels back-to-back converter is used to ensure the energy transfer between the DFIG rotor and the grid. The wind turbine to operate efficiently, a maximum power point tracking (MPPT) algorithm is implemented. Then, direct power control (DPC) strategy has been combined with the MPPT technique in order to guarantee the selection of the appropriate rotor voltage vectors and to minimize the active and reactive power errors. Finally, the simulation is performed by using MATLAB/simulink platform basing on 7.5KW DFIG wind generation system, and the results prove the effectiveness of our proposed control technique.</span>

scholarly journals Combining synergetic control and super twisting algorithm to reduce the active power undulations of doubly fed induction generator for dual-rotor wind turbine system

2021 ◽  
pp. 8-17
Author(s):  
H. Benbouhenni ◽  
S. Lemdani
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Harmonic Distortion ◽  
Main Role ◽  
Direct Power ◽  
Direct Power Control ◽  
Stator Current ◽  
Wind Turbine System ◽  
Asynchronous Generator ◽  
Traditional Strategy

Aim. This work presents the amelioration of direct power control using synergetic-super twisting algorithms for asynchronous generators integrated into dual-rotor wind turbine systems. Method. The main role of the direct power control is to control the active and reactive powers and reduce the harmonic distortion of stator current of asynchronous generator for variable speed dual-rotor wind turbine systems. The traditional strategy is more attractive due to its high efficiency and simple algorithm. Super twisting algorithms are a non-linear command strategy; characterized by robustness against the parameters change or disturbances, it gives a good power quality under different conditions such as changing generator parameters. Novelty. Synergetic-super twisting algorithms are designed. Synergetic-super twisting algorithms construction is based on synergetic command and super twisting algorithms in order to obtain a robust control strategy and a fast system with acceptable precision. We use in our study a 1.5 MW asynchronous generator integrated to dual-rotor wind turbine system in order to regulate the active and reactive powers. Results. As shown in the results figures using synergetic-super twisting algorithms the ameliorate performances especially minimizes the torque, active and reactive power undulations, and reduces harmonic distortion of stator current (THD = 0.19 %) compared to traditional strategy.

scholarly journals A 24-sectors direct power control-feedforward neural network method of DFIG integrated to dual-rotor wind turbine

2021 ◽  
Vol 10 (4) ◽  
pp. 291
Author(s):  
Habib Benbouhenni
Keyword(s):  
Neural Network ◽  
Power Control ◽  
Wind Turbine ◽  
Harmonic Distortion ◽  
Feedforward Neural Network ◽  
Direct Power ◽  
Direct Power Control ◽  
Major Disadvantage ◽  
Rotor Flux ◽  
Doubly Fed

<p class="Abstract">In this work, a 24-sector direct power control (24-sector DPC) of a doubly-fed induction generator (DFIG) based dual-rotor wind turbine (DRWT) is studied. The major disadvantage of the 24-DPC control is the steady-state ripples in reactive and active powers. The use of 24 sectors of rotor flux, a feedforward neural network (FNN) algorithm is proposed to improve traditional 24-sector DPC performance and minimize significantly harmonic distortion (THD) of stator current and reactive/active power ripple. The proposed method is modeled and simulated by using MATLAB/Simulink software under different tests and compared with conventional 24-sector DPC.</p>

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