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STUDY ON APPLICATION OF INTELLIGENT COMBUSTION- OPTIMIZING TECHNOLOGY ON UTILITY BOILERS
Author(s): 
Pages: 23-27,31
Year: Issue:  9
Journal: THERMAL POWER GENERATION

Keyword:  电站锅炉燃烧优化神经网络遗传算法;
Abstract: 采用径向基神经网络建立了锅炉燃烧输入与输出参数的智能优化模型,分析了不同径向基函数分布密度对模型预测精度的影响,应用基于实数编码方式的遗传算法实现了运行操作参数的实时寻优.通过某电厂600 MW机组的实际应用,燃烧调整过程中实际运行参数的获得可用于指导锅炉运行人员的操作,使优化操作后的锅炉效率得到了提高.
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