热力发电2017，Vol.46Issue(12)：6-10,17,6.DOI:10.3969/j.issn.1002-3364.2017.12.006
基于非对称神经网络结构的电站锅炉智能燃烧控制模型
Intelligent combustion control model for utility boilers based on asymmetric artificial neural networks
摘要
Abstract
To solve the problems occurred during the combustion modeling of domestic power plants, such as frequent fluctuations of coal quality and unit load, limited measurement accuracy, various change in running equipments combination, an asymmetric neural network modeling method for utility boilers' combustion was proposed. In this method, the boiler model's structure is designed according to the actual physical relationship by removing the weak link. So the model naturally embodies the boilers' combustion laws and realizes single network modeling under conditions with different burner output distributions. Thus, this method greatly increases the training efficiency and sharply reduces the demand for the number of samples. Moreover, comparative training was carried out for classical symmetric neural network model and asymmetric neural network model. The results show that, the proposed method is more effective than the classical one. It was used to optimize the combustion control of an actual 660 MW unit, and the results show the boiler efficiency was increased by 0.25％.关键词
锅炉/燃烧控制/人工神经网络/非对称神经网络/对称神经网络/智能控制/数学建模/样本数量Key words
boiler/combustion control/artificial neural network/asymmetric artificial neural network/symmetric artificial neural network/intelligent control/mathematic modeling/sample number分类
能源科技引用本文复制引用
吴恒运,高林,田建勇,周俊波,高海东,王林,王明坤..基于非对称神经网络结构的电站锅炉智能燃烧控制模型[J].热力发电,2017,46(12):6-10,17,6.基金项目
中国华能集团公司总部科技项目(HNKJ17-H12, HNKJ17-H13) Science and Technology Project of China Huaneng Group (HNKJ17-H12, HNKJ17-H13) （HNKJ17-H12, HNKJ17-H13）
