Home Journals Articles Updates About
CN
image
收藏切换
Capacity optimal configuration of new off-grid wind-solar-storage microgrid system based on flywheel energy storage
收藏切换
PDF
Xueshen WANG1, Ran SUN1, Jun XU1, Yujie LI2, Bin ZHANG3, Chang LIU3, Wenyan LI2
Thermal Power Generation | 2025, 54(3) : 43 - 50
Less
收藏切换
Thermal Power Generation | 2025, 54(3): 43-50
• Energy storage technology •
Capacity optimal configuration of new off-grid wind-solar-storage microgrid system based on flywheel energy storage
Full
Xueshen WANG1, Ran SUN1, Jun XU1, Yujie LI2, Bin ZHANG3, Chang LIU3, Wenyan LI2
Affiliations
  • 1.State Grid Heilongjiang Electric Power Company Limited, Harbin 150090, China
  • 2.School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
  • 3.BC New Energy Co., Ltd., Tianjin 300000, China
Published: 2025-03-25 doi: 10.19666/j.rlfd.202407160
Outline
收藏切换

To address the electricity consumption challenges in remote regions beyond the reach of power grid, a novel off-grid microgrid system integrating wind and solar energy with flywheel storage technology is introduced. Research is conducted on the optimal capacity configuration of distributed power sources, and power output models are developed for wind turbines, photovoltaic arrays, energy storage flywheels, and diesel generators. With economic and reliability indicators as objective functions, and environmental protection indicators as constraints, a capacity optimization simulation for the microgrid system is conducted. By employing the improved NSGA-II algorithm, a multi-objective bi-level coordinated optimization of the microgrid system is performed, resulting in a Pareto optimal solution through multi-objective optimization. The TOPSIS method is utilized for decision-making, ultimately identifying the optimal solution tailored for the microgrid system. The data and conclusions obtained from this study have reference value for engineering applications in related fields.

flywheel energy storage  /  microgrid system  /  capacity optimization allocation  /  multi-objective optimization
Xueshen WANG, Ran SUN, Jun XU, Yujie LI, Bin ZHANG, Chang LIU, Wenyan LI. Capacity optimal configuration of new off-grid wind-solar-storage microgrid system based on flywheel energy storage[J]. Thermal Power Generation, 2025 , 54 (3) : 43 -50 . DOI: 10.19666/j.rlfd.202407160
Funding
Less
  • Science and Technology Fund of State Grid Heilongjiang Electric Power Company
Appendix
Less
Year 2025 volume 54 Issue 3
PDF
126
56
Cite this Article
BibTeX
Article Info
doi: 10.19666/j.rlfd.202407160
  • Receive Date：2024-07-10
  • Online Date：2026-03-06
  • Published：2025-03-25
Article Data
Affiliations
History
  • Received：2024-07-10
Funding
Science and Technology Fund of State Grid Heilongjiang Electric Power Company
Affiliations
    1.State Grid Heilongjiang Electric Power Company Limited, Harbin 150090, China
    2.School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    3.BC New Energy Co., Ltd., Tianjin 300000, China
References
Share
https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202407160
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