Optimization Of Hydro Turbine Governor Based On Particle Swarm

Hydraulic turbine regulating system is a complex nonlinear control system, which has non-minimum-phase characteristic and time varying parameters. Hydrodynamics and mechano-electric dynamics are all involved in such a nonlinear dynamic system. To satisfy the dynamic requirements, it is necessary to research the practical method in the hydro-turbine governing systems.Aiming at the disadvantage of classical PSO algorithm, this paper improves PSO algorithm and puts forward a new improved algorithm. It uses the new improved algorithm to optimize the standard test functions and analyzes the test results, and finds the test results are better than before. And the new improved algorithm is applied to optimal the PID gains tuning of hydraulic turbogenerators speed governor. The ITAE criterion of hydraulic turbogenerators speed errors was taken as the fitness function of the improved PSO algorithm. The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response and strong robustness especially on isolated operation conditions.