现代电力2024，Vol.41Issue(3)：539-546,8.DOI:10.19725/j.cnki.1007-2322.2022.0408
考虑多维参数耦合的共享储能匹配交易机制
Matching Transaction Mechanism of Shared Energy Storage Considering Multi-dimensional Parameter Coupling
韩震焘 1金宇飞 1赵琮皓 2王麒翔 1张泽宇 1武昭原2
作者信息
- 1. 国网辽宁省电力有限公司经济技术研究院,辽宁省沈阳市 110015
- 2. 华北电力大学电气与电子工程学院,北京市昌平区 102206
- 折叠
摘要
Abstract
Shared energy storage,which has shown great ap-plication potential and value in all aspects of the power supply chain,is regarded as an effective means to solve the problem of energy storage cost dredging.Nevertheless,energy storage sharing will not only involve multiple types of application scen-arios;but its own operation mode is the coupling of multidi-mensional parameters such as power and capacity.It is urgent to explore an efficient energy storage sharing mechanism to maximize the flexibility potential of the system.For that reason,shared energy storage matching transaction mechanism consid-ering multidimensional parameter coupling was studied.Firstly,a shared energy storage matching transaction framework con-sidering multi-dimensional parameter coupling was proposed.On this basis,a shared energy storage matching transaction model with multidimensional parameter coupling was construc-ted based on the combinatorial auction theory.Secondly,in al-lusion to the problem of the high computational complexity of traditional methods for solving combinatorial auctions,the concept of bid density,which evaluates and sorts the bid in-formation based on the value of the unit subject matter so as to realize the fast solution of the problem of shared energy stor-age combinatorial auctions,was proposed.In addition,a shared energy storage matching transaction settlement mechanism based on bid density was proposed.Finally,the effectiveness of the proposed method was demonstrated by numerical examples.关键词
共享储能/多维参数/组合拍卖/动态匹配Key words
shared energy storage/multidimensional para-meter/combinatorial auction/dynamic matching分类
信息技术与安全科学引用本文复制引用
韩震焘,金宇飞,赵琮皓,王麒翔,张泽宇,武昭原..考虑多维参数耦合的共享储能匹配交易机制[J].现代电力,2024,41(3):539-546,8.
