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Two-layer optimization operation of power selling company based on shared hydrogen energy storage service
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Jianxin ZHOU1, 2, Tenghao SUN1, 2, Lihong ZHANG1, 2
Thermal Power Generation | 2025, 54(1) : 99 - 107
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Thermal Power Generation | 2025, 54(1): 99-107
Thermal energy science research
Two-layer optimization operation of power selling company based on shared hydrogen energy storage service
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Jianxin ZHOU1, 2, Tenghao SUN1, 2, Lihong ZHANG1, 2
Affiliations
  • 1.College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China
  • 2.Hebei Province Wind Solar Hydrogen Storage Safety Monitoring and Intelligent Operation Technology Innovation Center, Tangshan 063210, China
Published: 2025-01-25 doi: 10.19666/j.rlfd.202405115
Outline
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With the development of hydrogen energy storage technology and the popularity of sharing concept, shared hydrogen energy storage is gradually becoming a new way to deal with the consumption of new energy and the long-term energy storage needs of users. Taking power selling companies and users of production and marketing as research objects, a double-layer optimization economic model of power selling companies based on shared hydrogen energy storage services is established. The upper layer model is responsible for solving the long-term hydrogen energy storage configuration and revenue problems of power selling companies, while the lower layer model is responsible for solving the short-term operating cost problems of production and marketing users. The mixed integer linear programming problem is solved by KKT condition and Big-M method. Finally, the feasibility of the proposed model is verified by setting up different scenarios. The results show that, compared with the self-built hydrogen energy storage by the production and marketing users, the establishment of shared hydrogen energy storage power stations by the sales companies can reduce the configuration scale of hydrogen energy storage under the constraint condition of meeting the energy storage needs of users. At the same time, its daily operating income increases by 66.71%, and the daily operating cost of production and marketing users decreases by 34.90%, realizing the mutual benefit and win-win situation between the sales company and the production and marketing users.

shared hydrogen energy storage  /  electricity selling company  /  two-layer optimization  /  KKT condition  /  Big-M method
Jianxin ZHOU, Tenghao SUN, Lihong ZHANG. Two-layer optimization operation of power selling company based on shared hydrogen energy storage service[J]. Thermal Power Generation, 2025 , 54 (1) : 99 -107 . DOI: 10.19666/j.rlfd.202405115
  • Natural Science Foundation of Hebei Province(F2018209201)
Year 2025 volume 54 Issue 1
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Article Info
doi: 10.19666/j.rlfd.202405115
  • Receive Date:2024-05-15
  • Online Date:2026-03-06
  • Published:2025-01-25
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  • Received:2024-05-15
Funding
Natural Science Foundation of Hebei Province(F2018209201)
Affiliations
    1.College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China
    2.Hebei Province Wind Solar Hydrogen Storage Safety Monitoring and Intelligent Operation Technology Innovation Center, Tangshan 063210, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
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Number of
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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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