Doubly fed induction generator wind turbines with fuzzy controller: a survey

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Systems

Background:

• Wind energy is a crucial renewable source, but its integration impacts power systems.
• Variable speed wind turbines with Doubly Fed Induction Generators (DFIG) are prevalent.
• Transient faults pose challenges to wind power system stability.

Purpose of the Study:

• To investigate the application of fuzzy logic control for DFIG wind turbines.
• To enhance active power control and voltage regulation during system disturbances.
• To improve the overall stability and reliability of power systems with high wind penetration.

Main Methods:

• Implementation of a fuzzy logic controller (FLC) on the rotor-side converter of a DFIG.
• Simulation of a sample power system incorporating the DFIG wind turbine model.
• Analysis of system performance under transient fault conditions.

Main Results:

• The fuzzy logic controller effectively manages active power output during faults.
• The proposed control strategy ensures stable voltage regulation for the DFIG.
• Demonstrated improvement in the dynamic response of the wind turbine during disturbances.

Conclusions:

• Fuzzy logic control is a viable strategy for enhancing DFIG wind turbine performance.
• This approach contributes to the stable integration of wind power into the grid.
• The study highlights the importance of advanced control for renewable energy systems.