高电压技术2025，Vol.51Issue(2)：852-863,中插28-中插30,15.DOI:10.13336/j.1003-6520.hve.20241004
基于数据驱动不确定集的微电网两阶段鲁棒优化调度
Two-stage Robust Optimization Scheduling of Microgrids Based on Data-driven Uncertain Sets
摘要
Abstract
Robust optimization,as an important tool for addressing the uncertainty of new energy output such as wind power,is widely used in microgrid optimization and scheduling.Traditional uncertain sets are not compact enough to ac-curately characterize wind power uncertainty,and there may be some outliers in the data enclosed by uncertain sets,resulting in overly conservative scheduling results.In response to the above issues,this paper proposes a two-stage robust optimization scheduling method for microgrids based on data-driven uncertain sets.Firstly,a conditional normal copula(CNC)model is constructed based on historical wind power data,and then the predicted values of wind power from the previous day are input into the CNC model to generate the next day's wind power samples.Then,a data-driven uncer-tainty set considering the temporal correlation of wind power is constructed through support vector clustering(SVC)and dimension decomposition.This uncertain set can more accurately depict the uncertainty of wind power and exclude outli-ers in wind power data,thereby reducing the conservatism of robust optimization while possessing outlier resistance.Secondly,a two-stage robust optimization scheduling model based on the aforementioned uncertain set is proposed and solved using the column and constraint generation(C&CG)algorithm.Finally,simulations prove that the uncertainty set constructed in this paper has lower conservatism compared to traditional uncertainty sets,and has good resistance to out-liers in wind power data.关键词
鲁棒优化/数据驱动/支持向量聚类/时间相关性/抵抗性Key words
robust optimization/data-driven/support vector clustering/time correlation/resistance引用本文复制引用
魏斌,乔森,孟润泉,李嘉庚..基于数据驱动不确定集的微电网两阶段鲁棒优化调度[J].高电压技术,2025,51(2):852-863,中插28-中插30,15.基金项目
山西省基础研究计划青年项目(202203021222109).Project supported by Shanxi Basic Research Program Youth Project(202203021222109). （202203021222109）
