Home Journals Articles Updates About
CN
image
收藏切换
Economic study on wind-solar-storage systems technology considering time-of-use electricity prices
收藏切换
PDF
Laizeng WANG1, Lu FENG2, Xinjing ZHANG3
Thermal Power Generation | 2024, 53(10) : 66 - 71
Less
收藏切换
Thermal Power Generation | 2024, 53(10): 66-71
• Long-term energy storage technology •
Economic study on wind-solar-storage systems technology considering time-of-use electricity prices
Full
Laizeng WANG1, Lu FENG2, Xinjing ZHANG3
Affiliations
  • 1.China Power International Development Limited, Beijing 100080, China
  • 2.Tianjin Research Institute of Electric Science Co., Ltd., Tianjin 300171, China
  • 3.Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
Published: 2024-10-25 doi: 10.19666/j.rlfd.202402040
Outline
收藏切换

Based on the time-of-use electricity price and the cost of wind-PV-energy storage system, technical and economic research of source-grid-load-storage system is studied. Firstly, a microgrid system model integrating renewable energy and energy storage system is proposed, which includes PV, wind power, energy storage system, grid, and load. Then, under the premise of ensuring reliable power supply to the load, an optimization model of the source-grid-load-storage system is established with the goal of optimizing the system economy based on load data, irradiation data, wind speed data, time-of-use electricity price data, and the costs of each unit of the system. Finally, the optimal capacity and economic feasibility of configuring a wind-PV-storage system in a certain region are analyzed in detail through a numerical example. The analysis results indicate that, the energy storage systems store energy at low electricity prices and release energy at high electricity prices, thereby avoiding users from purchasing electricity from the grid at high electricity prices and reducing the cost of purchasing electricity from the grid. The configuration of a wind-PV-energy storage system can effectively reduce the annual cost of purchasing electricity from the grid.

renewable energy  /  energy storage technology  /  capacity optimization  /  time-of-use electricity price
Laizeng WANG, Lu FENG, Xinjing ZHANG. Economic study on wind-solar-storage systems technology considering time-of-use electricity prices[J]. Thermal Power Generation, 2024 , 53 (10) : 66 -71 . DOI: 10.19666/j.rlfd.202402040
Funding
Less
  • National Natural Science Foundation of China(52376040)
  • Beijing Nova Program(20230484479)
Appendix
Less
Year 2024 volume 53 Issue 10
PDF
101
42
Cite this Article
BibTeX
Article Info
doi: 10.19666/j.rlfd.202402040
  • Receive Date：2024-02-20
  • Online Date：2026-03-05
  • Published：2024-10-25
Article Data
Affiliations
History
  • Received：2024-02-20
Funding
National Natural Science Foundation of China(52376040)
Beijing Nova Program(20230484479)
Affiliations
    1.China Power International Development Limited, Beijing 100080, China
    2.Tianjin Research Institute of Electric Science Co., Ltd., Tianjin 300171, China
    3.Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
References
Share
https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202402040
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