中国电机工程学报2025，Vol.45Issue(3)：822-833,中插2,13.DOI:10.13334/j.0258-8013.pcsee.231253
考虑协变量因素的多能微电网两阶段分布鲁棒优化调度
Two-stage Distributionally Robust Optimization Scheduling for Multi-energy Microgrid Considering Covariate Factors
摘要
Abstract
To effectively deal with the influence of multiple uncertainties such as renewable energy output and load demand on the safe and stable operation of multi-energy microgrid system,this paper proposes a two-stage distributionally robust optimization model for multi-energy microgrid system considering covariate factors.First,based on the distributionally robust optimization method,a two-stage optimal scheduling model of a multi-energy microgrid system including photovoltaic generation units,combined cooling,heat and power units,cold,heat and electric load and thermal energy storage is constructed.Then,considering covariate factors,a Wasserstein ambiguity set based on multivariate decision tree regression is established to describe the internal relationship between the uncertainty of source and load,and between the uncertainty and covariate factors.Next,using linear decision rules and duality theorem,a mixed integer linear programming form of the model is given.Finally,the model is applied to a modified 33-node multi-energy microgrid system for example analysis.The results show that the introduction of covariate factors can effectively improve the economy of the model compared with the classical robust optimization model and the distributionally robust optimization model.In the Monte Carlo out-of-sample test,the proposed two-stage distributionally robust optimization model shows good reliability in the face of uncertainty fluctuations.关键词
微电网/经济调度/Wasserstein模糊集/分布鲁棒优化/协变量因素Key words
microgrid/economic dispatch/Wasserstein ambiguity set/distributionally robust optimization/covariate factor分类
信息技术与安全科学引用本文复制引用
李鸿,朱继忠,董瀚江..考虑协变量因素的多能微电网两阶段分布鲁棒优化调度[J].中国电机工程学报,2025,45(3):822-833,中插2,13.基金项目
国家自然科学基金项目(52177087) （52177087）
广东省基础与应用基础研究基金(2022B1515250006). Project Supported by National Natural Science Foundation of China(52177087) （2022B1515250006）
Guangdong Basic and Applied Basic Research Foundation(2022B1515250006). （2022B1515250006）
