Direct torque control based multi-level inverter and artificial neural networks of wind energy conversion system

2016 ◽  
Author(s):  
A. Moualdia ◽  
Dj. Boudana ◽  
O. Bouchhida ◽  
Patrice Wira
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Energy Conversion ◽  
Direct Torque Control ◽  
Torque Control ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Multi Level

scholarly journals Improvement technique of direct torque control of DFIG based in wind energy conversion system

2020 ◽  
Vol 10 (1) ◽  
pp. 22-34
Author(s):  
Djamila Cherifi
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Direct Torque Control ◽  
Torque Control ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Doubly Fed ◽  
Vector Modulation

This paper presents a comparative study between two strategies for the direct torque control (DTC) of the doubly fed induction generator (DFIG)  based on wind energy conversion system (WECS). The first method is a conventional direct torque control DTC and it is based on hysteresis controllers where the torque and the flux are regulated by these controllers. The second one is direct torque control by space vector modulation strategy (DTC-SVM) where the torque and flux are regulated by PI controllers. The main feature of the proposed (DTC-SVM) strategy is the reduction of torque and flux ripples. Simulation results of this proposed system were analyzed using MATLAB environment

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