scholarly journals Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation

2021 ◽  
Author(s):  
Farida Mazouz ◽  
Sebti Belkacem
Keyword(s):  
Power Control ◽  
Vector Control ◽  
System Performance ◽  
Sliding Mode ◽  
Direct Power ◽  
Direct Power Control ◽  
Doubly Fed ◽  
Vector Modulation ◽  
Twisting Algorithm ◽  
The Impact

This paper presents the super-twisting algorithm (STA) direct power control (DPC) scheme for the control of active and reactive powers of grid-connected DFIG. Simulations of 5 KW DFIG has been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC). The proposed controller schemes with fixed gains are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effe This paper presents a comparative study of two approaches for the direct power control (DPC) of doubly-fed induction generator (DFIG) based on wind energy conversion system (WECS). Vector Control (VC) and Sliding Mode Control (SMC). The simulation results of the DFIG of 5 KW in the presence of various uncertainties were carried out to evaluate the capability and robustness of the proposed control scheme. The (SMC) strategy is the most appropriate scheme with the best combination such as reducing high powers ripple, diminishing steady-state error in addition to the fact that the impact of machine parameter variations does not change the system performance. cts of parametric uncertainties not affecting system performance.

scholarly journals Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation

2020 ◽  
Author(s):  
Farida Mazouz ◽  
Sebti Belkacem
Keyword(s):  
Power Control ◽  
Vector Control ◽  
System Performance ◽  
Sliding Mode ◽  
Space Vector Modulation ◽  
Parametric Uncertainties ◽  
Direct Power ◽  
Direct Power Control ◽  
Vector Modulation ◽  
Twisting Algorithm

This paper presents the super-twisting algorithm (STA) direct power control (DPC) scheme for the control of active and reactive powers of grid-connected DFIG. Simulations of 5 KW DFIG has been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC). The proposed controller schemes with fixed gains are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effects of parametric uncertainties not affecting system performance.

Super-Twisting Sliding Mode Direct Power Control of a Brushless Doubly Fed Induction Generator

2018 ◽  
Vol 65 (11) ◽  
pp. 9147-9156 ◽  
Author(s):  
Ramtin Sadeghi ◽  
Seyed M. Madani ◽  
M. Ataei ◽  
M. R. Agha Kashkooli ◽  
Sul Ademi
Keyword(s):  
Power Control ◽  
Sliding Mode ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Direct Power ◽  
Direct Power Control ◽  
Doubly Fed

Performance Evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method

2016 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Khalil Valipour ◽  
Reza Najafi
Keyword(s):  
Performance Evaluation ◽  
Control System ◽  
Power Control ◽  
Vector Control ◽  
Control Method ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Direct Power ◽  
Direct Power Control ◽  
Doubly Fed

<p>This paper presents the performance evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method. Combined vector and direct power control (CVDPC) is used for the rotor side converter (RSC) of double-fed induction generators (DFIGs). The control system is according a direct current control by selecting suitable voltage vectors from a switching table. Actually, the proposed CVDPC encompass the benefits of vector control (VC) and direct power control (DPC) in a compact control system. Its benefits compare with VC contains rapid dynamic response, Stability against the machine parameters Changes, less computation, and naive implementation. On the other hand, it has benefits compared with DPC, contains less harmonic distortion and lower power ripple. This technique is to improve the dynamic performance of the DFIG driven by the wind-energy conversion system.</p>

scholarly journals Modeling and Performance Improvement of Direct Power Control of Doubly-Fed Induction Generator Based Wind Turbine through Second-Order Sliding Mode Control Approach

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2012
Author(s):  
Mohammed Mazen Alhato ◽  
Soufiene Bouallègue ◽  
Hegazy Rezk
Keyword(s):  
Sliding Mode Control ◽  
Power Control ◽  
Sliding Mode ◽  
Second Order ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Direct Power ◽  
Direct Power Control ◽  
Doubly Fed ◽  
Second Order Sliding Mode

A second-order sliding mode (SOSM)-based direct power control (DPC) of a doubly-fed induction generator (DFIG) is introduced in this research paper. Firstly, the DFIG output powers are regulated with the developed SOSM controller-based DPC scheme. The Super Twisting Algorithm (STA) has been used to reduce the chattering phenomenon. The proposed strategy is a combination of the Lyapunov theory and metaheuristics algorithms, which has been considered to identify the optimal gains of the STA-SOSM controllers. The Lyapunov function method is employed to define the stability regions of the controller parameters. On the other hand, the metaheuristics algorithms are mainly employed to select the fine controllers’ parameters from the predefined ranges. A Thermal Exchange Optimization (TEO) method is used to compute the optimal gain parameters. To prove the superiority of the proposed TEO, its obtained results have been compared with those obtained by other algorithms, including particle swarm optimization, genetic algorithm, water cycle algorithm, grasshopper optimization algorithm and harmony search algorithm. Moreover, the results of the introduced TEO-based SOSM controller have been also compared with the Proportional-Integral (PI)-based vector control and the conventional sliding mode control-based DPC. Moreover, an empirical comparison is carried out to investigate the indication of every metaheuristics method by employing Friedman’s rank and Bonferroni tests. The main findings indicate the effectiveness of STA-SOSM control for system stability and power quality improvement. The ripples in the active and reactive powers are minimized and the harmonics’ distortions of stator and rotor currents are improved. Besides, the STA-SOSM controller shows a superior performance of control in terms of chattering phenomenon elimination.

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