您当前的位置:
首页 >
文章列表页 >
Boiler-turbine system modeling using composite weighted human learning optimization network
Internet of Energy | 更新时间:2025-11-26
    • Boiler-turbine system modeling using composite weighted human learning optimization network

    • “In the field of ultra supercritical power generation units, experts have proposed a multivariable modeling method based on CWHLO, providing theoretical basis for nonlinear control of boiler turbine systems.”
    • ZHEJIANG ELECTRIC POWER   Vol. 44, Issue 11, Pages: 25-34(2025)
    • DOI:10.19585/j.zjdl.202511003    

      CLC:
    • Received:08 February 2025,

      Revised:2025-03-06,

      Published:25 November 2025

    移动端阅览

  • WANG Neng,FENG Xubo.Boiler-turbine system modeling using composite weighted human learning optimization network[J].ZHEJIANG ELECTRIC POWER,2025,44(11):25-34. DOI: 10.19585/j.zjdl.202511003.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Application of ECS-700 control system in ultra-supercritical units
Design Optimization for 1000MW Ultra-supercritical Unit Control System
Full-load High-Efficiency Heat Regeneration Technology of No.0 High-Pressure Heater in 1000MW Units and Its Application
Stress Analysis of Typical Working Conditions for Medium-pressure Steam Valve Cap Bolts in USC Units
Analysis of Typical Failure Cases of Boiler Desuperheater for Ultra-supercritical Units

Related Author

ZHENG Qiu
GONG Zhiqiang
HUANG Wei
JI Deheng
HE Xian-feng
WANG Lina
FANG Kuangkun
QIAN Linfeng

Related Institution

State Grid Zhejiang Electric Power Co., Ltd.Research Institute
E Energy Technology Co., Ltd.
Ganzhe Guohua Xinfeng Power Generation Co., Ltd., Xinfeng Jiangxi
Zhejiang Supcon Technology Co., Ltd.
Guodian Zhejiang Beilun NO.1 Power Generation Co.Ltd.
0