Stability Enhancement of Grid-Connected DFIG with GA Optimized PI Controller

This work presents an efficient application of the genetic algorithm for improving the small signal dynamic performance of grid-integrated (Doubly Fed Induction Generator) DFIG system fed by wind energy. The nonlinear differential-algebraic model of DFIG based system has been presented and linearization is performed for obtaining the small signal dynamic model. Eigenvalue analysis and time domain based simulations are presented for visualizing the results. The obtained result is compared with the PI controllers whose parameters are chosen based on trial-and-error method. The optimized results with genetic algorithm show that the system shows far better performance than PI controller without GA.