Home Journals Articles Updates About
CN
image
收藏切换
Load distribution optimization for combined heat and power units based on synergy of heat load and heat source
收藏切换
PDF
Jie LI1, 2, Yong HU2, Yushan ZHANG2, Dan DENG2, Lu LIANG2, Deliang ZENG1, 2, Jizhen LIU1, 2
Thermal Power Generation | 2025, 54(1) : 46 - 55
Less
收藏切换
Thermal Power Generation | 2025, 54(1): 46-55
• Thermal energy science research •
Load distribution optimization for combined heat and power units based on synergy of heat load and heat source
Full
Jie LI1, 2, Yong HU2, Yushan ZHANG2, Dan DENG2, Lu LIANG2, Deliang ZENG1, 2, Jizhen LIU1, 2
Affiliations
  • 1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
  • 2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Published: 2025-01-25 doi: 10.19666/j.rlfd.202405136
Outline
收藏切换

The conventional heating method in thermal power plants has low energy utilization efficiency. To deeply explore the energy-saving potential of cogeneration units, a source load coordination load optimization allocation model for cogeneration units is proposed, which comprehensively considers the heat load side and heat source side. A modified outdoor temperature-heat load prediction model is established considering meteorological disturbances on the load side, and an energy efficiency variation model for cogeneration units is established on the heat source side. An optimal scheduling model considering source-load coordination is constructed with the goal of minimizing the coal consumption rate of all heating units. Finally, simulation experiment is carried out based on the heat network composed of six units and two heaters. The results show that, the load optimization distribution method considering source-load coordination based on the predicted value of heat load can effectively reduce the total coal consumption of the units during the heating period. Compared with the conventional distribution method, the coal consumption of the thermal power plant can be reduced by 214.56 tons in one day during the typical peak heating period, which is helpful to improve the operation economy of the thermal power plant. This load optimization distribution method has certain practical application value.

combined heat and power  /  heat load forecasting  /  synergy of heat load and heat source  /  slime mould algorithm  /  load distribution optimization
Jie LI, Yong HU, Yushan ZHANG, Dan DENG, Lu LIANG, Deliang ZENG, Jizhen LIU. Load distribution optimization for combined heat and power units based on synergy of heat load and heat source[J]. Thermal Power Generation, 2025 , 54 (1) : 46 -55 . DOI: 10.19666/j.rlfd.202405136
Appendix
Less
Year 2025 volume 54 Issue 1
PDF
122
54
Cite this Article
BibTeX
Article Info
doi: 10.19666/j.rlfd.202405136
  • Receive Date：2024-05-29
  • Online Date：2026-03-06
  • Published：2025-01-25
Article Data
Affiliations
History
  • Received：2024-05-29
Affiliations
    1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
    2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
References
Share
https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202405136
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House