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热力发电  2013 

采用燃烧系统模型预测锅炉效率和nox排放浓度

, PP. 65-69

Keywords: 锅炉,燃烧系统,bp神经网络,遗传算法,ga?bp神经网络,锅炉效率,nox排放浓度

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Abstract:

以某电厂燃煤锅炉燃烧调整试验数据为基础,运用bp神经网络建立锅炉效率与nox排放浓度的双目标锅炉燃烧系统模型,并用遗传算法优化bp神经网络的权值和阈值产生优化型ga?bp神经网络模型。通过对2种模型预测误差的比较表明,ga?bp神经网络模型的锅炉效率平均预测误差由6%降至3.4%,nox排放浓度平均预测误差由0.1%降至0.04%,泛化能力相对于bp神经网络模型大大增强,可适用于建立锅炉燃烧优化系统。

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