Application of improved particle swarm optimization algorithm based on average position in parameter optimization of hydraulic turbine governor

摘要

The hydraulic turbine governor is an important control equipment of a hydropower station. The dynamic performance of a hydraulic turbine governing system is determined by the parameters of the hydraulic turbine governor. Traditional parameter optimization methods of the hydraulic turbine governor exhibit some obvious disadvantages in terms of convergence speed, accuracy and robustness. This paper proposed an improved particle swarm optimization algorithm based on average position and applied the algorithm into the parameter optimal design of a hydraulic turbine governor. Based on the field data of a hydropower station, the improved particle swarm optimization algorithm was examined against different working conditions by virtue of computer simulation. The simulation results demonstrate that the improved particle swarm optimization algorithm can effectively improve the dynamic performance of the hydraulic turbine governing system.