Neural networks based power flow control of the doubly fed induction generator

Abstract

Abstract-This paper describes the models of wind power system, such as the turbine, the generator, the power electronics converters and the controllers, with the aim to control the generation of wind power in order to maximize the power generated with the lowest possible impact in the voltage and the frequency of the grid during normal operation and under the occurrence of faults. The present work considers a wind power system equipped with the Doubly Fed Induction Generator (DFIG) and a converter connected between the rotor and the grid. This system allows independent control of active and reactive power using neural networks based controllers.