Speed governor PID gains optimal tuning of hydraulic turbine generator set with an improved artificial fish swarm algorithm

An improved artificial fish swarm algorithm with selection behavior was put forward in this paper and applied to optimize the PID gains of hydraulic turbine generator speed governor. The ITAE criterion of hydraulic turbine generator speed relative errors was taken as the fitness function of the improved artificial fish swarm algorithm. The computer simulation was conduct on an actual hydropower plant in China after its PID gains were optimized by the improved artificial fish swarm algorithm. The simulation results indicate that the PID controller optimized by the improved artificial fish swarm algorithm could effectively improve the dynamic performance of hydraulic transients on isolated operation conditions.