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应用支持向量机监测电站锅炉受热面积灰研究

, PP. 21-27

Keywords: 电站锅炉,低温过热器,受热面,积灰,支持向,量机

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Abstract:

以某300MW机组为例,使用支持向量机理论和遗传算法,利用电站分散控制系统(DCS)获取的热工数据,建立预测锅炉低温过热器受热面清洁状态下的吸热量(清洁吸热量)模型,进而推算出表征积灰污染程度的清洁系数,得到时序变化的积灰曲线,从而对吹灰状况进行监测。其结果表明,以清洁系数表征锅炉低温过热器受热面积灰情况具有可操作性;所建立模型的测试集决定系数、均方根误差和平均绝对误差分别为0.920、36.381和25.457,表明该模型具有良好的预测性能,可以在一定范围内对吹灰信号产生响应;锅炉实际运行工况下应用所建模型表明,给煤量大幅度变化会对受热面的积灰曲线造成一定程度的干扰。该研究为开发大型电站锅炉积灰结渣在线监测系统提供参考和依据。

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