The DTC with ANN of a DFIG Driven by a WECS | Zendy

Sebti Bouhafna | Zendy; I. Toumi | Zendy; S. Benaggoune | Zendy; B. Maghni | Zendy

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The DTC with ANN of a DFIG Driven by a WECS

Author(s) -

Sebti Bouhafna,

I. Toumi,

S. Benaggoune,

B. Maghni

Publication year - 2020

Publication title -

international journal of innovative science and research technology (ijisrt)

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.

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