Design of P-I Controller of Wind Turbine with Doubly Fed Induction Generator Using Flower Pollination Algorithm

In the present work, the performance of a Wind Turbine (WT) with doubly fed induction generator (DFIG) interfaced with power grid is investigated. Proportional-Integral (P-I) controllers have been considered for controlling the system, and the small signal stability model of the system has been considered for designing the controller. Gain settings of P-I controllers of WT with DFIG are optimized using Flower Pollination Algorithm (FPA). Analysis reveals that the P-I controllers with optimized gains for WT for DFIG system improve the dynamic responses significantly. Sensitivity analysis has been performed by changing WT and DFIG parameters, and results reveal that FPA-optimized P-I controller gains obtained for nominal values of these are quite robust and need not be changed.