Digital twins and the physical assets of electric power systems face the potential risk of data loss and monitoring failures owing to catastrophic events

causing surveillance and energy loss. This study aims to refine maintenance strategies for the monitoring of an electric power digital twin system post disasters. Initially

the research delineates the physical electric power system along with its digital counterpart and post-disaster restoration processes. Subsequently

it delves into communication and data processing mechanisms

specifically focusing on central data processing (CDP)

communication routers (CRs)

and phasor measurement units (PMUs)

to re-establish an equipment recovery model based on these data transmission methodologies. Furthermore

it introduces a mathematical optimization model designed to enhance the digital twin system’s post-disaster monitoring efficacy by employing the branch-and-bound method for its resolution. The efficacy of the proposed model was corroborated by analyzing an IEEE-14 system. The findings suggest that the proposed branch- and-bound algorithm significantly augments the observational capabilities of a power system with limited resources

thereby bolstering its stability and emergency response mechanisms.