Operation optimization of CFB boiler based on data-driven and pattern mining

JIA Jining; LYU Yongzai

doi:10.19666/j.rlfd.202002064

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Operation optimization of CFB boiler based on data-driven and pattern mining

更新时间：2025-09-28

- Operation optimization of CFB boiler based on data-driven and pattern mining
- Thermal Power Generation Vol. 49, Issue 5, Pages: 33-39(2020)
- 作者机构：
  
  1. 浙江大学工业控制技术国家重点实验室智能系统与控制研究所
  2. 浙江工业大学化学工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202002064
  CLC： TK229.6
- Published Online：27 April 2020，
  
  Published：2020
- 稿件说明：
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JIA Jining, LYU Yongzai. Operation optimization of CFB boiler based on data-driven and pattern mining[J]. Thermal power generation, 2020, 49(5): 33-39.
DOI：

JIA Jining, LYU Yongzai. Operation optimization of CFB boiler based on data-driven and pattern mining[J]. Thermal power generation, 2020, 49(5): 33-39. DOI： 10.19666/j.rlfd.202002064.

摘要

火电厂锅炉运行控制中存在可控运行参数多、机理建模困难、运行参数和设计值有偏离等问题

导致采用数据驱动的锅炉运行优化较为困难。为此

本文采用模式挖掘方法分析锅炉相关监控点分散控制系统(DCS)历史运行数据

构造合理的模糊划分矩阵

并进行矩阵运算

挖掘负荷变化下与锅炉高效运行匹配的模糊关联模式

从而指导锅炉运行优化。以东莞某热电厂130 t/h循环流化床(CFB)锅炉为研究对象

提取其DCS历史数据

采用本文方法对数据进行分析

挖掘出运行中隐含的控制优化策略。优化结果表明

该方法能够为锅炉经济运行提供快速合理的支持。

Abstract

In operation control of thermal power plant boilers

there are many problems

such as various controllable operation parameters

difficult mechanism modeling and deviation between operation parameters and design values

which make it difficult to optimize the operation of boilers driven by data. Thus

a pattern mining method is applied to analyze the historical operation data of the distributed control system(DCS) of the related boiler monitoring points. Reasonable fuzzy partition matrices are constructed and matrix operations are performed to mine the fuzzy association patterns that match the boiler's high-efficiency operation under load changes

thereby to guide the operation optimization of boiler. By taking the 130 t/h circulating fluidized bed boiler of a thermal power plant in Dongguan as the research object

the historical data of its DCS are extracted. The data are analyzed by the method of this paper and the control optimization strategy implied in operation is mined. The optimization results show that

this method can provide rapid and reasonable support for the economic operation of the boiler.

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Related Author

XU Yaobing

WANG Qinhui

YU Chunjiang

SHI Zhenglun Research Institute of Thermal Energy Engineering

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YUAN Longji2

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Related Institution

Institute of Thermal Engineering, Zhejiang University

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