Design of adaptive optimal PID controller for hydropower units under frequency control mode
CHEN Jin-bao
REN Gang
XU Long
HU Wen-qing
ZHENG Yang
XIAO Zhi-huai
Abstract：To ensure frequency stability under frequency control mode(FCM),hydropower stations usually adopt the fixed PID(F-PID)controller with small parameters,which leads to slow regulation speed and difficulty in achieving optimal control.To solve this problem,an adaptive variable PID controller(V-PID)for the hydraulic turbine regulation system(HTRS)is designed based on the improved grey wolf optimizer(IGWO)and back propagation neural network(BPNN)to obtain the optimal regulation effect under all operating conditions.First,a high-precision HTRS simulation platform is built and the working conditions are divided according to the variation range of the water head and guide vane opening.Further,the PID parameter constraint conditions and maximum values under each working condition are determined based on Hopf bifurcation theory.Next,IGWO,which is based on the maximum data set of PID parameters,comprehensive ITAE index,and nonlinear convergence factor,is used to calculate the optimal PID parameters,and the optimal PID parameters are used as sample data of BPNN to obtain the neural network model of adaptive V-PID controller.Finally,an actual hydropower station is taken as an example to verify the effectiveness of the V-PID controller.The simulation test shows that the nonlinear HTRS containing the V-PID controller can automatically adjust the PID parameters online according to the change of operating conditions,which realizes the optimal control under FCM on the premise of simple structure and easy realization.
Keywords：hydropower unitimproved gray wolf optimizeradaptive controlHopf bifurcationneural networkPID controller
Publication Date：2025-01-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 22-32 )