Research on model identification of wet desulfurization system based on particle swarm optimization
LI Zi-nan
DING Lei
WU Zhong
SHI Zhuang
REN man-man
XIE Zhen-yang
CHEN Yi
ZHOU Nan-nan
Abstract：Optimal wet desulphurization control is a research hotspot in power industry,and the accurate identification of controlled objects in desulphurization control system is the basic key to realize optimal control.In order to identify the actual characteristics of the controlled object in the wet desulfurization system,the mechanism modeling and intelligent algorithm were combined to optimize the parameters of the wet desulfurization system.Based on the operation data of the power plant,the particle swarm optimization algorithm was used to intelligently identify the pH value of the slurry and the SO2 concentration at the flue gas outlet.The results show that the average absolute error of slurry pH value and SO2 concentration is 0.008 36 and 0.017 60 respectively,which verifies the high accuracy of the identification method and provides a reference for the optimization control of wet desulfurization system.
Keywords：wet desulfurizationparticle swarm optimizationintelligent system identification
Publication Date：2024-12-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 99-102 )