This paper suggests the Hidden Layer Recurrent Neural Network (HLRNN) for controlling a
wind power generation system based on a dual-fed induction generator. The generator's …

In the current era, renewable energy has emerged as a vital alternative to fossil fuels, driven
by the repercussions of global warming and the depleting supply of fossil fuels. Among …

Due to their partial-rating power converters and dynamic performance, doubly-fed induction
generators (DFIGs) are commonly used in wind turbines (WT). However, grid-connected …

Double-fed induction generator (DFIG) wind turbines connected to the grid are particularly
subject to grid problems such as voltage dips. Because of this, it might be challenging to …

This work investigates the optimal tuning of PI controllers using metaheuristic optimisation
algorithms and their effect on the performance of the Indirect Field Oriented Controlled …

The operations of WPTSs needs to be regulated under both its linear and nonlinear
operating behaviors in order to ensure the maximum possible wind power production with …

This paper presents a modeling and robust control of the DFIG (doubly fed induction
generator) used in the wind energy conversion system (WECS). We started by using the …

This chapter suggests a nonlinear Backstepping Control approach to manage a variable
wind turbine system. The generator used is a dual-fed induction generator (DFIG). The …