现代电子技术2026，Vol.49Issue(2)：87-94,8.DOI:10.16652/j.issn.1004-373x.2026.02.014
660 MW火电机组全工况下凝结水节流动态模型的研究
Research on dynamic model of condensate throttling for 660 MW thermal power unit under all operating conditions
摘要
Abstract
In order to solve the problem that it is difficult to combine accuracy,rapidity and generalization of condensate throttling models in thermal power units,a hybrid modeling method that combines mechanism modeling and data-driven modeling is proposed.The dynamic effect of condensate throttling on the internal pressure of the deaerator is deeply analyzed,and the parameter identification technology is introduced.A complex mechanism model with high accuracy is established based on the dynamic and static characteristics of the condensate throttling system.Under the premise of ensuring the accuracy of the model,with the help of data-driven methods,the relationship between a certain complex variables in the complex module is found,which reduces the complexity of the model and improves the rapidity of the model.The particle swarm optimization(PSO)algorithm is used to identify the unknown parameters in the model under different operating conditions and improve the generalization of the model according to the proposed fitness function about load,deaerator volume and pressure deviation.The simulation results show that the evaluation indexes such as root mean square error(RMSE)and Pearson correlation coefficient of the present model can perform well under 260 MW and 450 MW operating conditions.It proves that the present model has high accuracy,rapidity and generalization.关键词
火电机组/凝结水节流系统/动态模型/机理建模/数据驱动建模/粒子群优化算法/适应度函数Key words
thermal power unit/condensate throttling system/dynamic model/mechanism modeling/data-driven modeling/particle swarm optimization algorithm/fitness function分类
信息技术与安全科学引用本文复制引用
卫龙飞,陈伟威,郭志鹏,韩晓明..660 MW火电机组全工况下凝结水节流动态模型的研究[J].现代电子技术,2026,49(2):87-94,8.基金项目
国家自然科学基金项目(52307247) （52307247）
山西省自然科学基金项目(202201090301013) （202201090301013）
