融合机理模型和参数辨识的锅炉主蒸汽温度建模方法

李俊杰; 张奕楠; 杨雨; 道尔吉苏荣; 张翔; 唐晓宇; 王文海; 张涛; 张波

doi:10.19666/j.rlfd.202505125

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融合机理模型和参数辨识的锅炉主蒸汽温度建模方法

热力发电 2026年55卷第3期页码：36-43

热能科学研究 | 更新时间：2026-08-07

- 融合机理模型和参数辨识的锅炉主蒸汽温度建模方法
- 融合机理模型和参数辨识的锅炉主蒸汽温度建模方法
- 作者机构：
  
  1. 浙江大学NGICS大平台
  2. 中国电力科学研究院有限公司
- 作者简介：
- 基金信息：
  
  中央高校基本科研业务费专项资金（2025ZFJH02）~~
- DOI：10.19666/j.rlfd.202505125
  中图分类号： TM621.2
- 纸质出版：2026
- 稿件说明：
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[1]李俊杰,张奕楠,杨雨,等.融合机理模型和参数辨识的锅炉主蒸汽温度建模方法[J].热力发电,2026,55(03):36-43.
[1]李俊杰,张奕楠,杨雨,等.融合机理模型和参数辨识的锅炉主蒸汽温度建模方法[J].热力发电,2026,55(03):36-43. DOI： 10.19666/j.rlfd.202505125.

DOI：10.19666/j.rlfd.202505125.

摘要

主蒸汽温度的准确建模是研究其控制策略的基础。针对传统建模方法机理完整性和模型实用性的矛盾，提出了一种融合机理模型和参数辨识的主蒸汽温度建模方法。基于集总参数法建立了包含烟气传热量、蒸汽流量、减温水流量的主蒸汽温度机理模型，基于热电厂锅炉闭环运行数据，采用差分进化算法完成了模型参数辨识。和锅炉设计值对比，辨识结果的灰渣热阻增大、烟气对流传热系数减小，符合物理规律。采用不同时间段的运行数据验证模型，结果表明，模型计算结果与运行数据之间的平均绝对误差小于1℃，证明了模型的准确性。利用模型进一步分析了主蒸汽温度动态特性，提出了增加给煤量、减温器入口蒸汽温度前馈信号和采用基于负荷的模糊控制器的改进控制策略，并基于模型进行了仿真验证。仿真结果表明，主蒸汽温度控制偏差减小，证明了所建模型对主蒸汽温度控制系统优化具有指导作用。

Abstract

Accurate modeling of main-steam temperature is the foundation for studying its control strategy. To address the contradiction between mechanism completeness and model practicality of the conventional modeling methods

a hybrid modeling method for main steam temperature integrating mechanism model and system identification was proposed. A mechanistic model of main steam temperature was established based on the lumped parameter method. The model includes the effects of flue gas heat transfer

steam flow rate and desuperheating water flow rate. According to the closed-loop operation data of a thermal power plant boiler

the model parameters were identified using differential evolution algorithm. Compared with the boiler design values

the identification results show an increase in thermal resistance of ash layer and a decrease in convective heat transfer coefficient of flue gas

which conforms to physical laws. The model was then verified using operational data from different time periods. The results indicate that the mean absolute error between the calculated results and the operational data is less than 1 ℃

which proves the accuracy of the model. By utilizing the model

the dynamic characteristics of the main-steam temperature were further analyzed

and several improved control strategies were proposed

such as increasing the feedforward signals of the coal feeding rate and the attemperator inlet steam temperature

and adopting a load-based fuzzy controller. The simulation results show that the deviation of the main-steam temperature is reduced

which proves the established model has guidance effect on optimizing the main-steam temperature control system.

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