Abstract: In view of the existing optimization methods that were complex and easy to fall into local optimum,a method optimizing proportional-integral-differential control parameter based on seeker optimization algorithm was proposed for hydraulic turbine governing system. In order to verify the feasibility of the algorithm,a nonlinear model of hydraulic turbine governing system was established,and the integrated time absolute error of the rotational speed error in the hydraulic turbine generating set was used as the objective function of the optimization algorithm. In order to verify the effectiveness of the optimization results,the control effect of seeker optimization algorithm was compared with that of particle swarm optimization in the references. The simulation results show that under 5% frequency disturbance,seeker optimization algorithm has converged since the 29 th iteration,and the system optimized by seeker optimization algorithm can be stable within 8 seconds,and the system overshoot is1.6% at this time; under 10% load disturbance,seeker optimization algorithm has converged since the25 th iteration. The optimization effects of seeker optimization algorithm and particle swarm optimization algorithm are basically the same. Both stabilize the system within 10 seconds,but the integrated time absolute error index optimized by the seeker optimization algorithm is smaller than that by the particle swarm optimization,which indicates that seeker optimization algorithm has a better search function and can partly improve the dynamic performance of the unit under isolated operating conditions.