Optimization of power station boiler coal mill output based on the particle swarm algorithm

For the rapid response of coal mill to output changes in the case of ultra-supercritical units frequently changing load, in this paper, a coal mill output optimization model has been proposed and an improved PSO algorithm has been optimized. The state of start and stop of coal mill and operation combination have been obtained when the unit loads change through simulation. The obtained start-stop combination of coal mill can meet the basic requirements of the coal mill output when the unit runs, which thus has decreased the energy consumption in the case of the coal mill low output and improved the efficiency of the coal mill. The result of this paper can adapt to changes of peak load regulation unit peak load regulation unit and has a great promotional value.