ZHOU Jianxin, SUN Tenghao, ZHANG Lihong. 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:
ZHOU Jianxin, SUN Tenghao, ZHANG Lihong. 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.
Two-layer optimization operation of power selling company based on shared hydrogen energy storage service
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.