【摘要】 电站锅炉的安全运行主要取决于燃烧的稳定性,实时监测燃烧状态是否稳定,并及时作出判断,对电站锅炉安全、经济运行有着重要的实际意义。以某电厂的监控信息系统(SIS)中的历史数据库作为分析平台,基于非线性动力系统的复杂性刻画理论,提出利用Kolmogorov复杂性测度分析炉膛压力信号的波动程度,从而能够对燃烧状态做定量评价。首先对炉膛压力信号进行必要的预处理,然后分析了锅炉高负荷稳定、锅炉低负荷稳定、锅炉高负荷波动、锅炉低负荷波动、启磨、停磨、点火与停炉等8种典型燃烧工况下的炉膛压力信号复杂性。最后通过一个实例分析,表明复杂性测度能有效区分正常燃烧工况和不稳定工况,并能在一定程度上实现燃烧恶化的预警,为今后电站锅炉燃烧优化奠定基础。更多还原

【Abstract】 Operation safety of utility boiler depends on its combustion stability to a great extent.Real-time detection of combustion state and in-time judgment are important to safe and effective operation of utility boiler.With the help of Supervisory Information System(SIS),this paper introduced Kolmogorov nonlinear complexity index theory,and analyzed the stabilization of the pressure signals in furnace to quantitatively evaluate the combustion state.Firstly,furnace pressure signals were preprocessed.Then complexity of furnace pressure signals of eight typical combustion conditions was calculated,i.e.stable high load condition,stable low load condition,high load fluctuation condition,low load fluctuation condition,starting mill condition,stopping mill condition,igniting condition,stopping boiler condition.Finally,through an example analysis,it was showed that complexity measure can effectively distinguish the stable and unstable combustion condition and the bad combustion can be warned in advance to some extent.The conclusion has laid foundation for the next work of combustion optimization.更多还原