Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles

SU Rongqiang; WU Hengyun; YANG Guotian

English

您当前的位置：

首页 >

文章列表页 >

Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles

Thermal Power Generation Issue 4, (2016)

更新时间：2025-09-28

- Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院,北京,102206
  2. 西安热工研究院有限公司,陕西,西安,710032
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK39
- Published Online：15 May 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
SU Rongqiang, WU Hengyun, YANG Guotian. Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles[J]. Thermal Power Generation, 2016, (4).
DOI：

SU Rongqiang, WU Hengyun, YANG Guotian. Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles[J]. Thermal Power Generation, 2016, (4). DOI：

摘要

二次再热机组锅炉再热蒸汽温度(再热汽温)动态特性与一次再热机组差异较大。本文基于由仿真支撑软件APROS和虚拟控制器VDCS搭建的超临界1 000 MW二次再热机组仿真平台

结合差分进化算法和广义损失函数，编制再热汽温模型辨识程序

对再热汽温系统进行扰动试验

得到100％和75％额定工况下烟气调节挡板开度、烟气再循环挡板开度以及再热器喷水阀开度扰动下的再热汽温传递函数模型。仿真结果表明，该再热汽温模型辨识精度高

且传递函数模型能很好地解释再热汽温在各扰动下的动态特性。

Abstract

关键词

Keywords

references

Views

284

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

Application of supervisory predictive control in reheat steam temperature control for double-reheat units

Identification of boiler reheat steam temperature model based on improved particle swarm optimization algorithm

Static and dynamic respond analysis and control strategy research for ultra-supercritical units with double-reheat cycle

Thermoeconomic and techno-economic analysis on an ultra-supercritical unit with double-reheat cycle

Vibration safety assessment for central full partition wall in a 700 MW high-efficiency ultra-supercritical CFB boiler

Related Author

GENG Linxiao

JIANG Yin

GUO Yiwen

XUN Qingqiu

ZHANG Jingwei

GUI Yishu

KANG Yingwei

CHEN Huanle

Related Institution

Xi’an Thermal Power Research Institute Co., Ltd.

College of Automation Engineering, Shanghai University of Electric Power

Shanghai Minghua Electric Power Technology & Engineering Co., Ltd.

State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University

Huaneng Anyuan Power Generation Co., Ltd.

AI问答

⁰