Virtual Energy Storage Sharing and Capacity Allocation

被引:179
作者
Zhao, Dongwei [1 ]
Wang, Hao [2 ,3 ]
Huang, Jianwei [1 ,4 ,5 ]
Lin, Xiaojun [6 ]
机构
[1] Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
[2] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[3] Stanford Univ, Stanford Sustainable Syst Lab, Stanford, CA 94305 USA
[4] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R China
[5] Chinese Univ Hong Kong, Shenzhen Inst Artificial Intelligence & Robot Soc, Hong Kong, Peoples R China
[6] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
关键词
Energy storage; Virtualization; Investment; Pricing; Optimization; Load modeling; Discharges (electric); storage virtualization; business model; two-stage optimization; WIND POWER; MANAGEMENT; SYSTEM;
D O I
10.1109/TSG.2019.2932057
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Energy storage can play an important role in energy management of end users. To promote an efficient utilization of energy storage, we develop a novel business model to enable virtual storage sharing among a group of users. Specifically, a storage aggregator invests and operates the central physical storage unit, by virtualizing it into separable virtual capacities and selling to users. Each user purchases the virtual capacity, and utilize it to reduce the energy cost. We formulate the interaction between the aggregator and users as a two-stage optimization problem. In Stage 1, over the investment horizon, the aggregator determines the investment and pricing decisions. In Stage 2, in each operational horizon, each user decides the virtual capacity to purchase together with the operation of the virtual storage. We characterize a stepwise form of the optimal solution of Stage-2 problem and a piecewise linear structure of the optimal profit of Stage-1 problem, both with respect to the virtual capacity price. Based on the solution structure, we design an algorithm to attain the optimal solution of the two-stage problem. In our simulation results, the proposed storage virtualization model can reduce the physical energy storage investment of the aggregator by 54.3% and reduce the users' total costs by 34.7%, compared to the case where users acquire their own physical storage.
引用
收藏
页码:1112 / 1123
页数:12
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