This paper demonstrates the use of a novel particle swarm optimization (PSO) technique for optimizing the parameters of blade pitch PID controller for wind power plant. A proportional-integral-differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving a 3-phase synchronous generator connected to a large power system. The optimal PID parameters search is formulated as an optimization problem with a standard eigenvalue objective function. The system’s time domain simulation is then used in conjunction with the particle swarm optimizer to deter-mine the controller gains taking into consideration the eigenvalue-based performance index. Simulation results
significantly clarify the effectiveness of the proposed PSO based blade pitch controller and its flexibility towards improving the system s dynamic behavior and enhancing the system s stability under parameter uncertainties. The superiority of the proposed control technique over conventional PID controller is justified in presence of parameter uncertainties.