Research on Modeling and Control Strategy of Hydraulic Turbine Governing System Based on Improved Genetic Algorithm

IOP Conference Series

article

Xiaoping Jiang¹  Xiaofei Chen¹  Zhengwei Wang² 

[1] Department of Electrical Engineering, China University of Mining and Technology Beijing;Department of Energy and Power Engineering, Tsinghua University

关键词: hydraulic turbine;    regulation system;    improved genetic algorithm;    optimization fuzzy PID;   

DOI  :  10.1088/1755-1315/774/1/012136

学科分类：材料科学（综合）

来源: Institute Of Physics Publishing

【 摘 要 】

The mathematical model of the turbine governing system is obtained by modeling analysis. Under the premise of this model, the improved genetic algorithm is used to optimize the parameters in the parameter identification of the turbine governing system, and the high-precision parameter identification of the turbine governing system is realized, and an accurate mathematical model of the turbine governing system is established. In terms of control strategy, through theoretical analysis of conventional PID, fuzzy control and genetic algorithm, a fuzzy PID control based on genetic algorithm optimization (GA-fuzzy PID) is designed to realize the adaptive and adjustment ability of PID control. Compared with the traditional PID control, it has better control effect, and it is easier to make the turbine adjustment system achieve stability, quickness and accuracy.

【 授权许可】

CC BY