With the increasingly wide utilization of blended coal in coal-fired power plants

coal blending under constraints of industrial analysis indexes such as caloric value and volatile content cannot meet the current demand.Moreover

with the gradual application of on-line coal analyzer

the combustion performance of blended coals including ignition

burnout and slagging has attracted much more attentions in coal blending process. In this paper

the relationship model between combustion performance and blending proportion of coal is established

and the relevant constraints are set. Then

on the basis of global optimization based on particle swarm optimization algorithm

the cheapest coal blending solution that meets all set constraints can be found rapidly and exactly. The prepared coal mixture can not only guarantee the safe operation of the boiler in power plant

but also greatly improve the economy of burning blended coal.