This study 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 determine 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.