A new rooted tree optimization algorithm for indirect power control of wind turbine based on a doubly-fed induction...

Area of Science:

• Electrical Engineering
• Power Systems
• Control Theory

Background:

• Doubly-fed induction generators (DFIGs) are susceptible to chattering in active/reactive powers and harmonic currents, particularly from the rotor side converter (RSC).
• Traditional PI controllers often struggle to optimally manage these DFIG performance issues.

Purpose of the Study:

• To introduce a new control strategy for DFIGs to mitigate chattering and minimize harmonic currents.
• To enhance the dynamic and steady-state performance of DFIG systems.

Main Methods:

• A novel control strategy based on root tree optimization (RTO) was developed.
• RTO was employed to tune the proportional-integral (PI) controller parameters (Kp, Ki), creating an RTO-PI controller.
• Simulations were conducted to validate the proposed technique.

Main Results:

• The RTO-PI controller effectively reduced chattering phenomena in active and reactive powers.
• Minimization of harmonic currents at the RSC level was achieved.
• The proposed RTO-PI controller demonstrated superior dynamic and steady-state performance compared to classical PI controllers.

Conclusions:

• The developed RTO-based control strategy significantly improves DFIG performance.
• The RTO-PI controller offers a more effective solution for managing power quality issues in DFIGs.
• This metaheuristic approach provides enhanced system stability and efficiency.