Distributionally Robust Microgrid Formation Approach for Service Restoration Under Random Contingency

When a major outage occurs in distribution system due to extreme events, service restoration (SR) strategies pick up critical loads after isolating the faults that have occurred. However, conditions, traditional SR could pose potential security risks restored services subsequent contingencies succeeding events. To address this challenge, we propose microgrid-based methodology aims enhance preparedness of microgrids during unfolding The proposed strategy comprises microgrid formation (MF) and sequential (SSR) steps. MF makes benefit topology switching, generator allocation, load demand response. Additionally, uncertainty line failure probability is considered, distributionally robust optimization model maximize expected with regard worst-case contingencies. Then, SSR formulated as mixed-integer linear program yield proper switching sequences generation power sources for sequentially restoring system. measure enhances resilience by proactive microgrids, reducing impact cascading phenomenon when lines high are tripped. effectiveness method validated numerical simulations.