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 …

This paper presents the control strategies and performance analysis of doubly fed induction
generator (DFIG) for grid-connected wind energy conversion system (WECS). The wind …

This work introduces a parameter identification scheme for PI parameters of a DFIG wind
turbine generation system. Both rotor side and grid side converter controllers are considered …

The focal target of this paper is to increase the LVRT of the DFIG driven by WT. This task is
realized, firstly, by inserting a crowbar circuit (CB) into rotor circuit (RC), in case of voltage …

The focal target of this paper is to increase the LVRT of the DFIG driven by WT. This task is
realized, firstly, by inserting a crowbar circuit (CB) into rotor circuit (RC), in case of voltage …

The ultimate target of this paper is to increase the low-voltage ride-through (LVRT) of the
Doubly fed induction generator (DFIG) driven by wind turbine. This task is realized, initially …

Wind power produces environmentally sustainable electricity and helps to meet national
energy demand as the amounts of non-renewable resources are declining. The …

The main purpose of the work carried out is to analyse a different wind turbine technology
integrated into an electrical network, this system behaves a turbine, a generator, rectifier and …

Renewable energy isn't completely reliable for generating specific amounts of power at all
times. Due to the fluctuations in the wind's behavior, energy storage technologies must be …