中国电机工程学报2026，Vol.46Issue(9)：3551-3563,中插5,14.DOI:10.13334/j.0258-8013.pcsee.250072
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
Identification of Critical Equipment in Transmission Systems Considering Low Granularity Temporal Malicious Attacks Under Regional Outage Scenarios
摘要
Abstract
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.关键词
输电系统时序攻击/局部失能/脆弱性辨识/故障传播/决策集筛选Key words
temporal attacks on transmission system/regional power failure/vulnerability identification/fault propagation/decision set screening分类
信息技术与安全科学引用本文复制引用
李承泽,刘文霞,成锐,曹宇,杨玉泽,杨成琦..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[J].中国电机工程学报,2026,46(9):3551-3563,中插5,14.基金项目
智能电网国家科技重大专项(2030)(2026ZD0809800).National Science and Technology Major Project for Smart Grid(2030)(2026ZD0809800). （2030）
