Dynamic Simulation of Key Equipment Parameters in Crude Oil Stabilization Process Based on PID Automatic Control System
In view of the problem that the process parameters of crude oil stabilization process fluctuate greatly when the operating conditions change,based on HYSYS software,a dynamic model for the stability of negative pressure flash crude oil is established.The effects law of the proportional coefficient,integral coefficient,and differential coefficient on the flow of unstabilized crude oil,the pressure of the crude oil stabilizer,and the level of the buffer separator are analyzed through the engineering experience method.The range and value of parameter setting are preliminarily determined,and the parameters are refined based on genetic algorithm to solve the instability and fluctuation of the process system.The re-sults show that in flow control,the recovery time can be significantly shortened by adding the propor-tional coefficient,which is from 0.5 to 2,saving 53.0%of the recovery time.The system static error can be reduced by adding the integral coefficient,which is from 3 to 0.1,and the recovery time de-creases first and then increases slowly.In pressure control,the proportional coefficient is more sensitive to pressure change.When the integral coefficient is 5,the recovery time is 31.3%less than that of pure proportional coefficient control,and the overshoot range and maximum overshoot are smaller.In liquid level control,the larger the proportion coefficient is,the less obvious the influence on liquid level is.When the integral coefficient is 1,the system overshoot is the smallest.After genetic algorithm optimi-zation,the recovery time,overshoot,and steady-state error of each variable are reduced to varying degrees.The research results can provide practical reference for the parameter setting of PID automatic control system in the crude oil stabilization process.
crude oil stabilization processPID automatic control systemrecovery timeovershooterror
NETL
NSTL
万方数据
