计算机应用与软件2024，Vol.41Issue(4)：53-59,7.DOI:10.3969/j.issn.1000-386x.2024.04.008
间接空冷背压预测及变频循环泵控制优化
PREDICTION OF INDIRECT AIR COOLING BACK PRESSURE AND CONTROL OPTIMIZATION OF VARIABLE FREQUENCY CIRCULATING PUMP
摘要
Abstract
According to the actual operation data related to back pressure of 2 × 350 MW circulating fluidized bed unit 1 of Hepo power plant in Shanxi Province from July 15 to August 15,2019,by analyzing the influencing factors(ambient temperature,unit load,condenser temperature,pressure,etc.),the correlation coefficient method and principal component analysis method were used to reduce the dimension of data.On the Python platform,Keras,TensorFlow and other libraries were used to compile the prediction algorithm,and the back pressure prediction model was established.The RNN neural network was used to predict the back pressure,and we analyzed the prediction results.The model of variable frequency circulating pump was identified combining with the actual operation data,and the fuzzy PID was used to optimize its control.关键词
间接空冷/背压预测/变频循环泵/LSTM/PythonKey words
Indirect air cooling/Back pressure prediction/Variable frequency circulating pump/LSTM/Python分类
信息技术与安全科学引用本文复制引用
孟宏君,张凯奇,王尚尚,李丽锋..间接空冷背压预测及变频循环泵控制优化[J].计算机应用与软件,2024,41(4):53-59,7.基金项目
国家自然科学基金青年科学基金项目(51605321) （51605321）
山西省自然科学基金面上项目(201701D221144). （201701D221144）
