收藏切换
Optimal Hybrid Energy Storage Capacity Configuration Method for Mitigating Fluctuations of Wind Power
收藏切换
Yuming CHENG1, Gaojun MENG2, Peng JIA1, Yao WU2
Journal of Power Supply | 2025, 23(5) : 251 - 261
Less
收藏切换
Journal of Power Supply | 2025, 23(5): 251-261
• Battery and Energy Storage •
Optimal Hybrid Energy Storage Capacity Configuration Method for Mitigating Fluctuations of Wind Power
Full
Yuming CHENG1, Gaojun MENG2, Peng JIA1, Yao WU2
Affiliations
  • 1.Economic and Technological Research Institute, State Grid Henan Electric Power Company, Zhengzhou 450000, China
  • 2.School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
Published: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.251
Outline
收藏切换

Through a comparison of the economic advantages of different power decomposition methods for energy storage system capacity configuration and hybrid energy storage system (HESS) over one single energy storage system, a method based on improved moving average filtering and ensemble empirical mode decomposition (EEMD) is proposed to mitigate wind power fluctuations in view of the optimal capacity configuration of HESS. First, EEMD was used to decompose the HESS reference power which was derived by improved moving average filtering, so as to obtain several single-component signals, i.e., intrinsic mode functions (IMFs). Then, the time-frequency spectrum of each IMF was processed by Hilbert transform to identify the suitable gap frequency, and the HESS reference power was obtained by reconstructing the high- and low-frequency components. Meanwhile, the charge-discharge efficiency of the energy storage system and its state-of-charge were fully taken into account, and the rated power and capacities were configured. Finally, based on the life cycle cost theory, an economic cost calculation model for the energy storage system was established to compare the cost among different configuration schemes, thereby obtaining the optimal one with the highest economic efficiency.

Hybrid energy storage system (HESS)  /  wind power fluctuation  /  ensemble empirical mode decomposition (EEMD)  /  moving average filtering  /  life cycle cost  /  capacity configuration
程昱明, 孟高军, 贾鹏, 吴瑶. 用于平抑风电功率波动的混合储能容量优化配置方法. 电源学报, 2025 , 23 (5) : 251 -261 . DOI: 10.13234/j.issn.2095-2805.2025.5.251
Yuming CHENG, Gaojun MENG, Peng JIA, Yao WU. Optimal Hybrid Energy Storage Capacity Configuration Method for Mitigating Fluctuations of Wind Power[J]. Journal of Power Supply, 2025 , 23 (5) : 251 -261 . DOI: 10.13234/j.issn.2095-2805.2025.5.251
  • National Natural Science Foundation of China(51877101)
  • Natural Science Research Project of Jiangsu Province Colleges and Universities(20KJB470501)
Year 2025 volume 23 Issue 5
39
5
Cite this Article
BibTeX
Article Info
doi: 10.13234/j.issn.2095-2805.2025.5.251
  • Receive Date:2022-08-11
  • Online Date:2026-10-26
  • Published:2025-09-30
Article Data
Affiliations
History
  • Received:2022-08-11
  • Revised:2022-09-24
  • Accepted:2022-11-11
Funding
National Natural Science Foundation of China(51877101)
Natural Science Research Project of Jiangsu Province Colleges and Universities(20KJB470501)
Affiliations
    1.Economic and Technological Research Institute, State Grid Henan Electric Power Company, Zhengzhou 450000, China
    2.School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
References
Share
https://castjournals.cast.org.cn/joweb/dyxb/EN/10.13234/j.issn.2095-2805.2025.5.251
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