Modeling of coordination control system for supercritical unit under wet state operating condition

Abstract

The coordination control system model of supercritical unit under wet state operating condition is established in this paper. Based on the huge historical operating data of a unit, the static parameters and dynamic parameters of the model are solved by data statistics and regression and genetic algorithm and particle swarm optimization algorithm, respectively. Steady-state operating condition points verification, open-loop step response verification, and historical operation data closed-loop verification are conducted. The results show that the model is accurate and can be used for control system designing. For steady-state condition point verification, the relative error between the model output results and the actual data is less than 3.5%. The open-loop step disturbance test can objectively reflect the response characteristics of the unit. As to the closed-loop verification, the relative error between the model output results and the actual data is within 3%.