热力发电2025，Vol.54Issue(1)：88-98,11.DOI:10.19666/j.rlfd.202405153
超临界直流炉机组建模及模型复杂方程优化
Modeling of supercritical once-through boiler unit with complex equations optimization
韩程浩 1杜鸣 1牛玉广 1崔召飞 1李青1
作者信息
- 1. 华北电力大学控制与计算机工程学院,北京 102206
- 折叠
摘要
Abstract
In order to study the dynamic characteristics of supercritical once-through boiler units and design a coordinated control algorithm for it,a supercritical 600 MW coal-fired once-through boiler unit is taken as the research object and a mechanism model of the unit is established.In the model,the complex heat absorption equation and steam pressure difference equation in boiler section,as well as the superheated steam flow equation and unit load coefficient equation in turbine section are fitted by the long short-term memory(LSTM)neural network with real operational data from the unit given the algorithm's superiority in handling sequence data with long-term dependencies.This established four sub-models of the equations that can capture the operating characteristics of the unit.For the dynamic parameters in the mechanism model,an improved differential evolution algorithm is proposed to identify.After this,a complete state equation model is obtained.The established model is verified through open-loop step disturbance testing and closed-loop simulation upon historical operation data.The results show that the established model can accurately reflect the dynamic operating characteristics of the unit.The mean absolute percent error of the main steam pressure,steam enthalpy in separator and unit load are all less than 1.76%,which means the established model has high accuracy and can be used for research on coordinated control algorithms of supercritical units.关键词
直流炉机组/机理建模/长短时记忆神经网络/差分进化算法/状态空间方程模型Key words
once-through boiler unit/mechanism modeling/LSTM network/differential evolution algorithm/state space equation model引用本文复制引用
韩程浩,杜鸣,牛玉广,崔召飞,李青..超临界直流炉机组建模及模型复杂方程优化[J].热力发电,2025,54(1):88-98,11.
