Optimal control of wind systems has become a critical issue for the development of
renewable energy systems and their integration into grid to provide reliable, secure, and
efficient electricity. Among many enabling technologies, a new method using particle swarm
optimization (PSO) is proposed for optimizing the parameters of different types of controllers
for a doubly fed induction generator (DFIG) based wind farm connected to grid. New objective
function is illustrated with the PSO-based optimization algorithm to optimize the controllers’
parameters. The implementation of the algorithm is described in detail and compared with the
Genetic Algorithm (GA). In this paper, the generic dynamic model of WT with DFIG and its
associated controllers (pitch controller, rotor side converter controller, and grid side converter
controller) are presented. Initially PI controllers are used then compared to PID controllers
using PSO. With the PSO-PID optimized controllers, the system stability is improved under
large and small disturbances as well the dynamic performance of the WT with DFIG can be
improved. Simulations using MATLAB/SIMULIK are performed to illustrate the controllers’
performance.