From Viewpoint of Reserve Provider:A Day-ahead Multi-stage Robust Optimization Reserve Provision Method for Microgrid with Energy Storage  

作　　者：Ye Tang Qiaozhu Zhai Yuzhou Zhou 

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

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第5期1535-1547,共13页现代电力系统与清洁能源学报（英文）

基　　金：supported in part by National Key Research and Development Program of China(No.2022YFA1004600);China Postdoctoral Science Foundation(No.2022M722533);National Natural Science Foundation of China(No.11991023)。

摘　　要：Energy storage(ES),as a fast response technology,creates an opportunity for microgrid(MG)to participate in the reserve market such that MG with ES can act as an independent reserve provider.However,the potential value of MG with ES in the reserve market has not been well realized.From the viewpoint of reserve provider,a novel day-ahead model is proposed comprehensively considering the effect of the real-time scheduling process,which differs from the model that MG with ES acts as a reserve consumer in most existing studies.Based on the proposed model,MG with ES can schedule its internal resources to give reserve service to other external systems as well as to realize optimal self-scheduling.Considering that the proposed model is just in concept and cannot be directly solved,a multi-stage robust optimization reserve provision method is proposed,which leverages the structure of model constraints.Next,the original model can be converted into a mixed-integer linear programming problem and the model is tractable with guaranteed solution feasibility.Numerical tests in a real-world context are provided to demonstrate efficient operation and economic performance.

关 键 词：Reserve service energy storage MICROGRID optimal self-scheduling multi-stage robust optimization 

分 类 号：TM73[电气工程—电力系统及自动化] TK02[动力工程及工程热物理]