Research on optimization of hydraulic turbine governor based on PSO algorithm

Asian Working Group- IAHR's Symposium on Hydraulic Machinery and Systems

Jiang, X.P.^1 ; Zhu, H.^1 ; Wang, W.S.^1 ; Wang, Z.W.^2 ; Luo, Y.Y.^2

School of Mechanical Electrical and Information Engineering, China University of Mining and Technology, Beijing

100083, China^1

State Key Laboratory of Hydroscience and Engineering, Department of Thermal Engineering, Tsinghua University, Beijing

100084, China^2

关键词: Complex structure;    Control requirements;    Dynamic performance;    Effective parameters;    Fitness functions;    Particle swarm optimization algorithm;    Turbine control system;    Turbine governors;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/163/1/012098/pdf
DOI  :  10.1088/1755-1315/163/1/012098

来源: IOP

【 摘 要 】

Due to the complex structure of the turbine control system, poor dynamic performance and difficult stability, the conventional PID tuning method widely used in the turbine governor is becoming increasingly difficult to meet the actual control requirements. Based on the structure and mathematical model of the turbine control system, this paper introduces the PSO (Particle Swarm Optimization Algorithm) to optimize the PID parameters of the turbine governor based on ITAE as the fitness function. The simulation results show that the PSO algorithm is an effective parameter optimization method for the turbine governor, which has better dynamic performance compared with the conventional PID control.