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

机译:基于粒子群算法的电站锅炉磨煤机功率优化

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摘要

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 startstop 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 peakload regulation unit and has a great promotional value.
机译:针对超超临界机组负荷频繁变化情况下磨煤机对输出变化的快速响应,提出了一种磨煤机输出优化模型,并对改进的PSO算法进行了优化。通过仿真得到了机组负荷变化时磨煤机的启停状态和运行组合。所获得的磨煤机的启停组合能够满足机组运行时磨煤机产量的基本要求,从而在磨煤机产量低的情况下降低了能耗,提高了磨煤机的效率。本文的结果可以适应峰值负荷调节单元峰值负荷调节单元的变化,具有很大的推广价值。

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