电力系统自动化2026，Vol.50Issue(3)：57-66,10.DOI:10.7500/AEPS20250515001
面向并网灵活性提升的微电网网络重构方法
Microgrid Network Reconfiguration Method for Grid-connected Flexibility Enhancement
摘要
Abstract
With the massive integration of distributed energy resources,microgrids have become a critical platform for supporting the coordinated operation of source-grid-load-storage systems.The regulation flexibility provided by microgrids at the point of common coupling(PCC)serves as an important adjustable resource for power systems.However,due to constraints such as internal voltage stability and branch capacity limitations,the flexibility of distributed resources cannot be fully manifested at the PCC,and the available flexibility varies significantly under various network reconfiguration strategies.To address this challenge,this paper proposes a network reconfiguration based method for grid-connected flexibility enhancement.First,a characterization model for grid-connection flexibility based on microgrid aggregation is established,and a two-stage robust optimization framework is developed,in which the first stage maximizes the aggregated flexibility at the PCC through topology optimization,while the second stage verifies the feasibility of disaggregation.The strong duality theory and the column and constraint generation algorithm are employed to efficiently solve the model.Case studies demonstrate that the proposed method can fully tap into the flexibility of distributed energy resources through network reconfiguration,significantly improving the grid-connected flexibility of microgrids.关键词
微电网/分布式能源/灵活性/聚合/网络重构/公共耦合点(PCC)/鲁棒优化Key words
microgrid/distributed energy resource/flexibility/aggregation network reconfiguration/point of common coupling(PCC)/robust optimization引用本文复制引用
王长明,蔺晨晖,刘道兵,王思远,吴冠男,吴文传..面向并网灵活性提升的微电网网络重构方法[J].电力系统自动化,2026,50(3):57-66,10.基金项目
国家自然科学基金资助项目(52307101) （52307101）
北京市自然科学基金资助项目(L243003) （L243003）
中国科协青年人才托举工程资助项目(2023QNRC001) （2023QNRC001）
已申请国家发明专利(申请号:202510724146.9). This work is supported by National Natural Science Foundation of China(No.52307101),Beijing Municipal Natural Science Foundation of China(No.L243003),and Youth Talent Support Program of the China Association for Science and Technology(No.2023QNRC001). （申请号:202510724146.9）
