电站锅炉燃烧调整试验的工况降维设计

杨雪婷; 李金晶; 姜龙; 鲁佳易; 程亮; 武振新; 郭洪义; 吕俊复

doi:10.19805/j.cnki.jcspe.2026.250263

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

电站锅炉燃烧调整试验的工况降维设计

煤电机组清洁低碳高效运行与智能调峰专题 | 更新时间：2026-07-16

- 电站锅炉燃烧调整试验的工况降维设计
- Dimensionality Reduction Design of Operating Conditions for Utility Boiler Combustion Adjustment Tests
- 动力工程学报 2026年46卷第7期页码：185-192
- 作者机构：
  
  1. 华北电力科学研究院有限责任公司,北京,100045
  2. 清华大学能源与动力工程系,北京,100084
  3. 东方电气集团东方锅炉股份有限公司,四川,自贡,643001
  4. 上海锅炉厂有限公司,上海,200003
  5. 内蒙古大唐国际托克托发电有限责任公司,内蒙古,呼和浩特,010200
- 作者简介：
  
  杨雪婷(1996—),女,河北保定人,工程师,博士,主要研究方向为电站锅炉试验科学与技术,E-mail:YXT18801222397@163.com。
- 基金信息：
  
  国家重点研发计划资助项目(2022YFB4100303)
- DOI：10.19805/j.cnki.jcspe.2026.250263
  中图分类号： TK16
- 纸质出版：2026
- 稿件说明：
移动端阅览
杨雪婷, 李金晶, 姜龙, 鲁佳易, 程亮, 武振新, 郭洪义, 吕俊复. 电站锅炉燃烧调整试验的工况降维设计[J]. 动力工程学报, 2026, 46(7): 185-192.
杨雪婷, 李金晶, 姜龙, 鲁佳易, 程亮, 武振新, 郭洪义, 吕俊复. 电站锅炉燃烧调整试验的工况降维设计[J]. 动力工程学报, 2026, 46(7): 185-192. DOI： 10.19805/j.cnki.jcspe.2026.250263.

DOI： 10.19805/j.cnki.jcspe.2026.250263

摘要

为解决试验效率与数据完备性之间的矛盾

构建了对空气分级燃烧锅炉调节量间隶属与层级关系的结构化认知

开发了依据监测参数敏感度对调节量排序的方法

进一步解耦了相同隶属与层级的调节量。基于单个调节量试验数据

提出了数据趋势分析方法。结果表明:工况降维设计使燃烧调整试验的实施时机更灵活

满足"燃料"和"电力"两个市场频繁互动条件下的运行数据提质需求

对于构建自学习和自寻优的智能控制系统具有重要意义。

Abstract

To address the contradiction between test efficiency and data completeness

a structured understanding of the affiliation and hierarchical relationships among the regulating variables of air-staged combustion boilers was established. A method for ranking these regulating variables based on monitoring parameter sensitivity was developed

which further decoupled the variables sharing the same affiliation and hierarchy. Based on the test data of individual regulating variable

a data trend analysis method was proposed. Results show that the dimensionality reduction design of operating conditions provides greater flexibility in the execution timing of combustion adjustment tests. It meets the demand for enhancing operational data quality under the frequent interaction between the "fuel" and "electricity" markets

and holds significant importance for constructing self-learning and self-optimizing intelligent control systems.

关键词

Keywords

references

刘吉臻, 李云鸷, 宋子秋, 等. 灵活智能燃煤发电技术及评价体系[J]. 动力工程学报, 2022, 42(11): 993-1004, 1012.LIU Jizhen, LI Yunzhi, SONG Ziqiu, et al. Flexible and intelligent coal-fired power generation technology and its evaluation system[J]. Journal of Chinese Society of Power Engineering, 2022, 42(11): 993-1004, 1012.

陈昊宇. "双碳"目标下煤炭供应保障体系数字化转型思考[J]. 能源科技, 2024, 22(5): 66-69.CHEN Haoyu. Thoughts on digital transformation of coal supply support system under the "carbon peaking and carbon neutrality" goals[J]. Energy Science and Technology, 2024, 22(5): 66-69.

余占鹏, 侯茂林, 程盼, 等. 燃煤机组燃烧优化控制技术[J]. 自动化应用, 2024, 65(13): 90-92.YU Zhanpeng, HOU Maolin, CHENG Pan, et al. Optimization control technology for combustion of coal-fired power units[J]. Automation Application, 2024, 65(13): 90-92.

王欢. 基于炉膛温度场的超超临界锅炉燃烧调整试验研究及优化分析[J]. 动力工程学报, 2024, 44(11): 1689-1695.WANG Huan. Experimental study and optimization analysis of ultra-supercritical boiler combustion adjustment based on temperature field in furnace[J]. Journal of Chinese Society of Power Engineering, 2024, 44(11): 1689-1695.

张超, 崔小军, 绳鹏鹏, 等. 燃烧优化调整在智慧燃烧系统建模中的应用与研究[J]. 煤化工, 2024, 52(4): 122-124.ZHANG Chao, CUI Xiaojun, SHENG Pengpeng, et al. Application and research of combustion optimization adjustment in modeling of intelligent combustion system[J]. Coal Chemical Industry, 2024, 52(4): 122-124.

DAI Shukun. Boiler combustion adjustment and economic operation affect boiler combustion factors[J]. International Journal of Energy, 2024, 4(2): 47-50.

国家能源局. 煤粉锅炉燃烧调整试验技术导则: DL/T 2660-2023[S]. 北京: 中国电力出版社, 2023.

郭进平, 强浩, 王小林, 等. 高硫尾砂胶结充填体强度影响因素实验研究及应用[J]. 西安建筑科技大学学报(自然科学版), 2019, 51(6): 859-864.GUO Jinping, QIANG Hao, WANG Xiaolin, et al. Experimental study and application of factors affecting the strength of high sulfur tailings cemented backfill[J]. Journal of Xi'an University of Architecture & Technology (Natural Science Edition), 2019, 51(6): 859-864.

蔡志荣. 350 MW机组锅炉配煤掺烧及燃烧调整[J]. 电力技术, 2009(3): 36-40.CAI Zhirong. Coal blending and combustion adjustment of boiler of 350 MW unit[J]. Electric Power Technology, 2009(3): 36-40.

张强. 火电厂锅炉炉内低氮燃烧运行优化试验研究[J]. 工业炉, 2023, 45(5): 19-23.ZHANG Qiang. Experimental study on optimization of low nitrogen combustion operation in boiler furnace of thermal power plant[J]. Industrial Furnace, 2023, 45(5): 19-23.

孙锦余, 肖蔚然. 某电厂2028 t/h锅炉效率的正交试验研究[J]. 锅炉技术, 2014, 45(2): 63-66.SUN Jinyu, XIAO Weiran. Research for a power plant 2028 t/h boiler efficiency through orthogonal experiment[J]. Boiler Technology, 2014, 45(2): 63-66.

MASSACCI F, PAPOTTI A, PARAMITHA R. Addressing combinatorial experiments and scarcity of subjects by provably orthogonal and crossover experimental designs[J]. Journal of Systems and Software, 2024, 211: 111990.

VO-THANH N, JANS R, SCHOEN E D, et al. Symmetry breaking in mixed integer linear programming formulations for blocking two-level orthogonal experimental designs[J]. Computers & Operations Research, 2018, 97: 96-110.

郭瑞, 张建方. 基于先验知识的单因素轮换试验轮换顺序优化[J]. 中国科学院研究生院学报, 2009, 26(1): 9-17.GUO Rui, ZHANG Jianfang. The optimization of varying orders in one-factor-at-a-time experimentation basing on prior knowledge[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2009, 26(1): 9-17.

STRNAD J, KINCL M, BENE J, et al. Overlimiting mechanisms of heterogeneous cation- and anion-exchange membranes: a side-by-side comparison[J]. Desalination, 2024, 571: 117093.

BONNO D, VANATTA L, KOSSOFF E. A side-by-side comparison of fine-tuning options for treatment of medically refractory epilepsy: antiseizure medications, vagus nerve stimulation and ketogenic diet therapies[J]. Epilepsy Research, 2024, 206: 107441.

QI Guoli, ZHANG Songsong, LIU Xuemin, et al. Combustion adjustment test of circulating fluidized bed boiler[J]. Applied Thermal Engineering, 2017, 124: 1505-1511.

XU Chunxing, LI Meishuang. Combustion adjustment experiment of over-temperature in heating surfaces for 600 MW four-wall tangentially fired boiler[J]. Energy Reports, 2022, 8: 472-482.

ALHELALI O A, GEORGIOU S D, KOUKOUVINOS C, et al. Orthogonal designs for computer experiments constructed from sequences with zero autocorrelation[J]. Applied Numerical Mathematics, 2025, 208: 22-31.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

季节性储能在电力及供热部门转型中的潜力与作用——案例分析

压缩空气储能系统的压缩机仿真建模与变工况分析

大型CFB锅炉脉冲风帽技术数值模拟研究

燃气轮机叶片危险区域裂纹结构完整性评定模拟

基于数据驱动的600 MW煤氨混合机组协调控制