Open AccessThe DTC with ANN of a DFIG Driven by a WECS
Author(s) -
Sebti Bouhafna,
I. Toumi,
Saïd Benaggoune,
B. Maghni
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20aug075
Subject(s) - control theory (sociology) , matlab , converters , variable speed wind turbine , turbine , wind power , torque , doubly fed electric machine , induction generator , grid , computer science , wind speed , direct torque control , artificial neural network , control engineering , engineering , control (management) , permanent magnet synchronous generator , ac power , electrical engineering , physics , induction motor , voltage , mathematics , mechanical engineering , geometry , artificial intelligence , meteorology , thermodynamics , operating system , machine learning
This paper treats the modeling of a wind energy conversion system connected to the grid, which is composed of a horizontal axis wind turbine operating at variable wind speeds, a doubly- fed induction generator and two converters ( AC / DC and DC / AC) controlled by direct torque control (DTC) with application of neural networks. The results of simulations of the studied system are presented in the Matlab / Simulink environment.