Work

A risk-resistant microgrid formation method considering subsequent line faults and outage propagation

Year: 2025

Type: article

Abstract: Microgrid formation (MF) provides a viable solution for enhancing the resilience of distributions systems (DS) in extreme conditions. In general, the on-outage areas of DS are partitioned into multiple islands to restore the critical loads after isolating the occurred faults. However, the restored services could be interrupted by subsequent contingencies in extended extreme events with long-lasting destructive effects. To enhance the risk-resistance of formed microgrids(MGs), we propose an adaptive MF method that considers subsequent line faults and outage propagation. First, a strengthened ambiguity set of contingency probability distribution is constructed to depict the uncertainty of subsequent outages. Moreover, a progressive detection mechanism is introduced to estimate outage propagation and identify the affected nodes following intentional islanding and fault isolation. Then, a tri-level distributionally robust optimization (DRO) model is developed to maximize the expected load restoration with regard to the worst-case distribution of contingencies. The proposed DRO model is further transformed into a robust optimization model to facilitate the column-and-constraint generation algorithm. Simulation results validate the merits of the proposed method in improving the resilience of DSs during the extended extreme event by forming risk-resistant MGs.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.111399

Authors: Weixu Tian, Sheng Cai, Yunyun Xie, Chen Yu, Hao Wu, Qiuwei Wu