Multi-parameter collaborative prediction model of boilers based on long-short-term memory neural network

JIN Zhiyuan; LI Shengnan; TAN Peng; YAN Xingchu; LIU Yunong; ZHANG Cheng; CHEN Gang

doi:10.19666/j.rlfd.202007234

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Multi-parameter collaborative prediction model of boilers based on long-short-term memory neural network

更新时间：2025-09-28

- Multi-parameter collaborative prediction model of boilers based on long-short-term memory neural network
- Thermal Power Generation Vol. 50, Issue 5, Pages: 120-126(2021)
- 作者机构：
  
  1. 华中科技大学能源与动力工程学院煤燃烧国家重点实验室
  2. 广东省能源集团有限公司沙角C电厂
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202007234
  CLC： X773;TP183
- Published：2021
- 稿件说明：
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JIN Zhiyuan, LI Shengnan, TAN Peng, et al. Multi-parameter collaborative prediction model of boilers based on long-short-term memory neural network[J]. Thermal power generation, 2021, 50(5): 120-126.
DOI：

JIN Zhiyuan, LI Shengnan, TAN Peng, et al. Multi-parameter collaborative prediction model of boilers based on long-short-term memory neural network[J]. Thermal power generation, 2021, 50(5): 120-126. DOI： 10.19666/j.rlfd.202007234.

摘要

锅炉协同控制是提高其灵活运行下蒸汽温度平稳的有效手段。以某660 MW燃煤锅炉为研究对象

利用其历史运行数据

建立基于长短时记忆(LSTM)神经网络的主蒸汽温度、再热蒸汽温度、炉膛出口NO_x质量浓度、炉膛出口CO质量浓度协同预测模型。模型预测结果表明

该协同预测模型4个输出的相关系数均大于0.94

模型综合预测效果良好

且有较好的泛化能力。该模型为锅炉蒸汽温度、NO_x、炉效协同优化控制提供了依据。

Abstract

Cooperative control of boiler is an effective approach to improve steam temperature stability under flexible operation. Taking a 660 MW coal-fired boiler as the research object

by using the historical operation data

a cooperative prediction model based on the long-short-term memory(LSTM) neutral network for main steam temperature

reheated steam temperature

NO_x and CO mass concentration at the furnace outlet was established. The prediction results show that

all the correlation coefficients of the four outputs of the cooperative prediction model are larger than 0.94

indicating the model has good comprehensive prediction effect and generalization ability. The research provides a foundation for collaborative optimization control of boiler steam temperature

pollutants emission reduction and furnace efficiency enhancement.

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Related Author

WANG Yufei

LI Nan

XIE Gang

ZHANG Xiaohong

NIE Xiaoyin

ZHOU Yong

YU Tingfang

LIU Ran

Related Institution

太原科技大学先进控制与工业智能山西省重点实验室

山西华光发电有限责任公司

School of Mechanical and Electrical Engineering, Nanchang University

School of Control and Computer Engineering, North China Electric Power University

State Grid Hebei Energy Technology Service Co., Ltd

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