Energy-saving optimization method for output of coal pulverizer in power station

Abstract

The invention provides an energy-saving optimization method for the output of a coal pulverizer in a power station. The method comprises the following steps: S1, mathematic conversion of start-up and shut-down rules; S2, establishment of constraint conditions; S3, determination of a start-up and shut-down model; S4, improvement of particle swarm algorithm, wherein aimed at the problem of improvement, a mutation operator is introduced at a later search stage of a PSO algorithm, a PSO algorithm with the mutation operator is brought forward, which enables restraints by a locally optimal solution in the later search stage of the PSO algorithm to be overcome, and the PSO algorithm with the mutation operator retains the characteristic of a fast search speed at an early stage of the PSO algorithm; S5, setting of parameters; and S6, optimization, wherein the set parameters are input into the start-up and shut-down model, and computational results are obtained. According to the invention, optimized operation of the coal pulverizer and complex on-site working conditions are fully considered, so the start-up and shut-down optimization model of the coal pulverizer is more accurate and practical; an optimized start-up and shut-down combined mode of the coal pulverizer can basically satisfy requirements for output of the coal pulverizer during operation of a unit, operation time under the condition of low output of the coal pulverizer is shortened, coal-grinding efficiency of the coal pulverizer is improved, and thus, coal consumption of the unit is reduced.

Description

technical field [0001] The invention relates to a method for energy-saving and optimized output of a coal mill in a power station, in particular to a method for optimizing the output of a coal mill in a power station boiler based on a particle swarm algorithm. Background technique [0002] If the operation mode of the auxiliary machine in the thermal power plant is unreasonable, it will lead to a large power consumption of the auxiliary machine, an increase in the power supply coal consumption of the unit, and an increase in the power consumption rate of the plant. The main auxiliary equipment of the unit includes coal mill, blower fan, induced draft fan, primary fan, feed water pump, condensate water pump, circulating water pump, etc. The power consumption of these main auxiliary machines accounts for more than 80% of the total power consumption of the plant. According to statistics It shows that about 7% of the total power generation of the thermal power plant is used for ...

AI Technical Summary

Problems solved by technology

Someone proposed to use the adaptive PSO algorithm with contraction factor in the optimization of power system economic operation, and use the penalty function to deal with safety constraints such as grid voltage and current, but it ignores the technical constraints of the unit itself, so it also has shortcomings

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