Distributed stochastic model predictive control for energy dispatch with distributionally robust optimization  

作　　者：Mengting LIN Bin LI C.C.ECATI 

机构地区：[1]School of Aeronautics and Astronautics,Sichuan University,Chengdu 610065,China [2]Department of Information Engineering,Computer Science and Mathematics,University of L’Aquila,L’Aquila 67100,Italy

出　　处：《Applied Mathematics and Mechanics(English Edition)》2025年第2期323-340,共18页应用数学和力学(英文版)

基　　金：Supported by the National Natural Science Foundation of China(No.U24B20156);the National Defense Basic Scientific Research Program of China(No.JCKY2021204B051);the National Laboratory of Space Intelligent Control of China(Nos.HTKJ2023KL502005 and HTKJ2024KL502007)。

摘　　要：A chance-constrained energy dispatch model based on the distributed stochastic model predictive control(DSMPC)approach for an islanded multi-microgrid system is proposed.An ambiguity set considering the inherent uncertainties of renewable energy sources(RESs)is constructed without requiring the full distribution knowledge of the uncertainties.The power balance chance constraint is reformulated within the framework of the distributionally robust optimization(DRO)approach.With the exchange of information and energy flow,each microgrid can achieve its local supply-demand balance.Furthermore,the closed-loop stability and recursive feasibility of the proposed algorithm are proved.The comparative results with other DSMPC methods show that a trade-off between robustness and economy can be achieved.

关 键 词：distributed stochastic model predictive control(DSMPC) distributionally robust optimization(DRO) islanded multi-microgrid energy dispatch strategy 

分 类 号：TM73[电气工程—电力系统及自动化]