Multi-stage Robust Scheduling for Community Microgrid with Energy Storage  

作　　者：Ye Tang Qiaozhu Zhai Jiexing Zhao 

机构地区：[1]IEEE [2]Systems Engineering Institute,MOEKLINNS Lab,Xi’an Jiaotong University,Xi’an 710049,China

出　　处：《Journal of Modern Power Systems and Clean Energy》2023年第6期1923-1934,共12页现代电力系统与清洁能源学报（英文）

基　　金：supported in part by National Key R&D Program of China (No.2022YFA1004600);Science and Technology Project of State Grid Corporation of China (No.5400-202199524A-0-5-ZN);National Natural Science Foundation of China (No.11991023)。

摘　　要：Energy storage devices can effectively balance the uncertain load and significantly reduce electricity costs in the community microgrids(C-MGs) integrated with renewable energy sources. Scheduling of energy storage is a multi-stage decision problem in which the decisions must be guaranteed to be nonanticipative and multi-stage robust(all-scenario-feasible). To satisfy these two requirements, this paper proposes a method based on a necessary and sufficient feasibility condition of scheduling decisions under the polyhedral uncertainty set. Unlike the most popular affine decision rule(ADR) based multistage robust optimization(MSRO) method, the method proposed in this paper does not require the affine decision assumption, and the feasible regions(the set of all feasible solutions) are not reduced, nor is the solution quality affected. A simple illustrative example and real-scale scheduling cases demonstrate that the proposed method can find feasible solutions when the ADR-based MSRO fails, and that it finds better solutions when both methods succeed. Comprehensive case studies for a real system are performed and the results validate the effectiveness and efficiency of the proposed method.

关 键 词：Community microgrid short-term scheduling energy storage nonanticipativity polyhedral uncertainty set 

分 类 号：TM73[电气工程—电力系统及自动化]