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.
Improving Power Quality and Power Sharing in Unbalanced Multi-Microgrids Using Energy Storage System
单相分布式电源（DG）和不平衡负荷向三相DG的集成给微网（MG）的运行系统带来了挑战。这些挑战包括在MG的公共耦合点（PCC）处的不平衡电压和不相等的功率流。针对由单台和三台光伏分布式发电组成的孤岛多微网，提出了一种具有多功能控制的储能系统，以提高微网的电能质量和微网间的功率共享。建议的多功能控制包括一个无功功率补偿（RPC），PCC功率平衡调节器（PBR），和无功功率共享算法（RPSA）。RPC和PBR改善了MMG的三相PCC电压和功率不平衡，RPSA调节MMG之间的无功功率分配。该策略在Opal-RT OP 5600实时仿真器上进行了实验验证。PCC处的电压不平衡系数（VUF）从4.3%降低到0.03%，而三相和单相无功功率在不同额定DG之间按比例分配。
Energy Storage Sharing in Smart Grid: A Modified Auction Based Approach
Singapore University of Technology and Design（新加坡科技设计大学）；State Grid Smart Grid Research Institute（国家电网智能电网研究院）；Ministry of Home Affairs, Singapore（新加坡内政部）；National ICT Australia（澳大利亚国家信息技术中心）；Australian National University（澳大利亚国立大学）；Princeton University（普林斯顿大学）；Zhejiang University（浙江大学）
DRL-Based Resource Allocation for Energy-Efficient IRS-Assisted UAV Spectrum Sharing Systems
School of Information Science and Technology, Beijing University of Technology（信息科学与技术学院，北京理工大学）；Faculty of Electrical and Electronic Engineering, University of Nottingham（电子与电气工程学院，诺丁汉大学）
