Optimization method of coal mill operation based on genetic algorithm
ZHANG Qin
LIU Shu-yuan
JI Yun
DANG Ming-rui
SUN Na
WU Na
GU Wei
Abstract：The optimization application research of coal mill on-off operation based on a genetic algorithm aims to stabilize the combustion process of the boiler,fully tap the control potential of the system,and improve the operation level of the unit.Aiming at the key factors of the combustion process such as air,powder,coal,ash,and smoke,a simulation model is constructed for boiler efficiency,water wall temperature difference,coal mill unit consumption,boiler load,and other indicators by mining the rules from the historical operation data.Intelligent control is achieved with the genetic algorithm as the core.Under various working conditions,the optimal control scheme of the coal mill is identified to reduce the average unit consumption of the coal mill,and the temperature difference of the water wall is not higher than the threshold,thereby achieving energy conservation and emission reduction of the unit.The scheme gives consideration to the safety,economy,and environmental protection of the unit.
Keywords：double-in and double-output steel ball milloperational optimizationenergy conservation and emission reductionintelligent controlsimulation model
Publication Date：2023-12-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 53-56 )