中国电力2018，Vol.51Issue(3)：13-20,8.DOI:10.11930/j.issn.1004-9649.201711189
变负荷下超(超)临界机组过热器壁温预测
Prediction of Superheater Tube Wall Temperature in Supercritical/Ultra-Supercritical Boilers for Different Loading
摘要
Abstract
In this paper,the influencing factors of the superheater wall temperature in supercritical/ultra-supercritical boilers are analyzed.By using the real-time operation data acquired from the DCS system in a power plant,the grey relational analysis on the measured temperature of the superheater tubes is conducted to determine the input variables of the prediction model.The results show that the influencing factors,such as the outlet steam temperature of both the primary and secondary superheaters,the main steam temperature,the layer E opening of secondary air throttles and the active power are vital to the tube wall temperature.Then by using the BP neural network algorithm,14 main influencing factors with the threshold of more than 0.70 are used to predict the tube wall temperature at the scenario of up loading,steady loading and down loading,which concludes that the development trend of the prediction results is consistent with that of the measured results,and the largest relative error is about 1.42％.The prediction results can provide good guideline to avoid overheating.关键词
超(超)临界锅炉/过热器/管壁温度/灰色关联分析/BP神经网络Key words
supercritical/ultral-supercritical boiler/superheater/tube wall temperature/grey relational analysis/BP neural network分类
信息技术与安全科学引用本文复制引用
邓博,徐鸿,郭鹏,张乃强,倪永中..变负荷下超(超)临界机组过热器壁温预测[J].中国电力,2018,51(3):13-20,8.基金项目
国家自然科学基金资助项目(51134016,51471069) （51134016,51471069）
中央高校基本科研业务费专项资金资助项目(2014XS23).This work is supported by National Natural Science Foundation of China (51134016,51471069) and Fundamental Research Funds for the Central Universities (2014XS23). （2014XS23）
