Optimization Simulation on PID Parameters of Hydraulic Turbogenerators

Research hydro-generating PID parameter optimization problem.PID parameters are highly related with each other,the traditional parameter optimization algorithm is time-consuming and hard to find the optimal parameters,and the PID control accuracy is not high.In order to obtain the optimal PID parameters and improve the system control precision,a PID parameter optimization method was proposed based on particle swarm algorithm.PID parameters were taken as a particle,and particle swarm PID control accuracy was taken as objective function.The particles particles interacted with one another to shrink the searching space of particles,and through introducing the restart strategy,the ability of getting rid local extremum was improved.Finally,the optimal PID parameters were found.The proposed method is tested by the data from a hydropower station.The experimental results show that particle swarm optimization algorithm can quickly find the optimal parameters,which improves hydro-generating PID control precision significantly.