热力发电2025，Vol.54Issue(1)：99-107,9.DOI:10.19666/j.rlfd.202405115
基于共享氢储能服务的售电公司双层优化运行
Two-layer optimization operation of power selling company based on shared hydrogen energy storage service
摘要
Abstract
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.关键词
共享氢储能/售电公司/双层优化/KKT条件/Big-M法Key words
shared hydrogen energy storage/electricity selling company/two-layer optimization/KKT condition/Big-M method引用本文复制引用
周建新,孙腾浩,张力洪..基于共享氢储能服务的售电公司双层优化运行[J].热力发电,2025,54(1):99-107,9.基金项目
河北省自然科学基金项目(F2018209201) Natural Science Foundation of Hebei Province(F2018209201) （F2018209201）
