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Capacity Optimization Configuration of Hybrid Energy Storage System Based on EMD-VMD
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Deng-tao ZHOU, Fu-bao JIN*, Shan-gang MA, Yan-ming QI, Qiang ZHANG, Rui-ting ZHAO, Ruo-bing LI
Science Technology and Engineering | 2025, 25(19) : 8090 - 8098
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Science Technology and Engineering | 2025, 25(19): 8090-8098
Papers∙Electrical Technology
Capacity Optimization Configuration of Hybrid Energy Storage System Based on EMD-VMD
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Deng-tao ZHOU, Fu-bao JIN*, Shan-gang MA, Yan-ming QI, Qiang ZHANG, Rui-ting ZHAO, Ruo-bing LI
Affiliations
  • School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
Published: 2025-07-08 doi: 10.12404/j.issn.1671-1815.2406099
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In order to solve the problems of wind power fluctuations and intermittency during grid integration, which affect the stable operation of the power grid, a capacity optimization configuration scheme for a flywheel-lithium battery hybrid energy storage system was proposed. This scheme combined empirical mode decomposition (EMD) and variational mode decomposition (VMD). Firstly, typical daily data was obtained using the K-means algorithm, and EMD was applied to decompose the output power signal of these typical wind power daily data into grid-connected power that meets fluctuation limits and power that needs to be smoothed by the hybrid energy storage system. Then, the sparrow search algorithm was used to optimize the number of decomposition modes K and the quadratic penalty factor α in the VMD algorithm. By decomposing the power that needs smoothing using VMD, a reasonable allocation between lithium batteries and flywheel energy storage was achieved. Finally, considering the constraints of energy storage charging and discharging power and state of charge, an economic model was constructed with energy storage cost as the objective function. The actual power generation data of Qiejidunqu wind farm in Gonghe County, Hainan Prefecture, Qinghai Province were simulated and calculated by MATLAB platform. The results show that the proposed strategy not only effectively mitigates wind power fluctuations but also improves the overall economy of the system.

hybrid energy storage  /  empirical mode decomposition  /  sparrow search algorithm  /  variational mode decomposition  /  optimal capacity configuration
Deng-tao ZHOU, Fu-bao JIN, Shan-gang MA, Yan-ming QI, Qiang ZHANG, Rui-ting ZHAO, Ruo-bing LI. Capacity Optimization Configuration of Hybrid Energy Storage System Based on EMD-VMD[J]. Science Technology and Engineering, 2025 , 25 (19) : 8090 -8098 . DOI: 10.12404/j.issn.1671-1815.2406099
Year 2025 volume 25 Issue 19
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doi: 10.12404/j.issn.1671-1815.2406099
  • Receive Date:2024-08-15
  • Online Date:2025-12-22
  • Published:2025-07-08
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  • Received:2024-08-15
  • Revised:2025-01-02
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    School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
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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
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