局部失能场景下面向低颗粒度时序攻击的输电系统关键设备辨识OA

Considering the low granularity of temporal physical malicious attacks on transmission system equipment,this paper proposes a structured identification method for critical equipment in transmission systems under the regional power outage.First,geographic clustering of facilities is utilized as the maximum granularity for malicious physical attack,leading to the development of a modular transmission system model.Second,this paper considers the characteristics of fault propagation among facilities and,in conjunction with equipment recoverability,constructs a bi-level optimization model to identify critical equipment that can cause sustained power failure in specific areas under the temporal malicious attack.Additionally,a decision variable selection method is introduced based on the search for regional power supply paths.It excludes facilities outside the regional power supply path from the decision set,significantly enhancing solution efficiency.The results of case study indicate that,compared to traditional line-attack strategies,when attackers implement modular attacks,they can continuously target equipment with longer recovery times,thereby compounding the effects of the attacks and maximizing the incapacitation of targeted regions in the shortest time possible.Furthermore,through appropriate parameter adjustments,additional losses outside the region can be kept within tolerable limits.