An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced Grid Voltages

This work presents an investigation into the use of swarm intelligence techniques for control doubly fed induction generator under unbalanced grid voltages. Swarm is a concept that was introduced in late 20th century but has since undergone constant evolution and modifications. Similarly, recently come intense investigation. Owing to direct connection DFIG, voltage harshly impacts its output power. Established mitigation measures include dual vector proportional–resonant methods. investigates effectiveness utilizing purpose controller gain optimization. A comparison application controllers carried out. Three from across timeline were utilized including particle optimization, bat algorithm, gorilla troops optimization algorithm. The system subject single-phase dips 5% 10%. results indicate modern are effective at optimizing gains. shows as evolve, they may be suitable gains numerous applications.