Optimization of SMC-R Control based Rotor Current using Bird Swarm Algorithm for the Distorted DFIG-WPS

This work offers developed control of the rotor outlet current relying on the online gains adaptation of Sliding Mode Control (SMC) with resonant function regulator using discrete adapted Bird Swarm Optimization (ABSA) for the Doubly Fed Induction Generator (DFIG) based wind power system (WPS) during distorted main voltage. The resonant function involved in SMCR-ABSA handle (5th- and 7th-grade) harmonics on the quantities system with different regulation targets without an extra account for the harmonics items succession. The simulated SMCR-ABSA dynamic reaction computational analysis evinces that the ABSA algorithm gave highly preferential results mitigating the harmonic ratio associated with quantities compared to the reported SMCR-BAT, SMC, PI+R and PI controllers. Furthermore, the ABSA algorithm improved the global solutions search and convergence within 1e-2 tolerance range during iterations compared to ordinary BAT algorithm.