Modelling and Quantitative Evaluation Method for Flame Dynamic Characteristics of Burners in Coal-fired Power Units

DANG Lu; NIU Yuguang; FAN Huanbao; ZHANG Ting; DU Ming

doi:10.19805/j.cnki.jcspe.2025.250351

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Modelling and Quantitative Evaluation Method for Flame Dynamic Characteristics of Burners in Coal-fired Power Units

更新时间：2026-10-10

- Modelling and Quantitative Evaluation Method for Flame Dynamic Characteristics of Burners in Coal-fired Power Units
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2026-2033(2025)
- 作者机构：
  
  1. 华北电力大学新能源电力系统国家重点实验室,北京,102206
  2. 华北电力大学控制与计算机工程学院,北京,102206
  3. 北京怀柔实验室,北京,101400
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250351
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
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党璐,牛玉广,樊欢豹,张庭,杜鸣. 燃煤机组燃烧器火焰动态特性建模与量化评估方法研究动力工程学报, 2025, 45(12): 2026-2033 https://doi.

org/10.19805/j.cnki.jcspe.2025.250351
党璐,牛玉广,樊欢豹,张庭,杜鸣. 燃煤机组燃烧器火焰动态特性建模与量化评估方法研究动力工程学报, 2025, 45(12): 2026-2033 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250351.

org/10.19805/j.cnki.jcspe.2025.250351 DOI：

摘要

极低负荷工况下燃烧器出口火焰稳定性是制约燃煤机组调峰能力的关键因素。为揭示煤粉燃烧动态特性与机组灵活性之间的关联机制

提出了一种针对旋流燃烧器出口煤粉火焰稳定性的量化方法。通过煤粉燃烧过程中的光谱发射特性与分散控制系统(DCS)运行参数耦合建模

构建了跨尺度动态燃烧稳定性评估指标。在某660 MW燃煤机组的实验验证中

该方法实现了燃烧状态的实时监测

图像精度达到了95.36%

单帧处理速度达到了0.16 s

相较于传统检测装置

在表征极端燃烧工况方面展现出更高精度。研究结果为新型电力系统中传统能源动力系统的灵活运行提供了动态学方法支撑

同时为能源动力系统的多尺度动态建模与控制优化开辟了通用技术路径。

Abstract

Flame stability at the burner outlet under ultra-low load conditions is a key factor restricting the peak shaving capacity of coal-fired power units. To reveal the correlation mechanism between the dynamic characteristics of pulverized coal combustion and unit operational flexibility

a quantification method targeting the stability of pulverized coal flames at the outlet of swirl burners was proposed. Through coupled modeling of the spectral emission characteristics during pulverized coal combustion and the operating parameters of the distributed control system (DCS)

a cross-scale dynamic combustion stability evaluation index was developed. In the experimental verification on a 660 MW coal-fired power unit

this method achieved real-time monitoring of the combustion state

with an image accuracy of 95.36% and a single-frame processing speed of 0.16 s. Compared with traditional detection devices

it exhibits higher accuracy in characterizing extreme combustion conditions. The research results provide dynamic methodological support for the flexible operation of traditional energy power systems in the new-type power system

while proposing a universal technical path for multi-scale dynamic modeling and control optimization of energy power systems.

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Keywords

references

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