文献类型：期刊文献

英文题名：SASE-HR: A Markovian cascading-failure model for cyber-physical power systems

作者：Wu, Xing[1];Mao, Shuai[2];Liu, Chensheng[1,3]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Nantong Univ, Dept Elect Engn, Nantong 226019, Peoples R China;[3]Qilu Univ Technol, Minist Educ, Shandong Acad Sci,Shandong Prov Key Lab Ind Networ, Shandong Comp Sci Ctr,Key Lab Comp Power Network &, Jinan 250014, Peoples R China

年份：2026

卷号：754

外文期刊名：INFORMATION SCIENCES

收录：;EI(收录号：20262220789275);WOS:【SCI-EXPANDED(收录号:WOS:001784987500001)】；

基金：This work was supported by the Taishan Scholars Program under Grant No. tsqn202408241, in part by the General Program of Natural Science Foundation of Shandong Province under Grant No. ZR2025MS1020, in part by the Qilu University of Technology (ShandongAcademy of Sciences) "Outstanding Young Talents" project under Grant No. 2025QZJH01, and in part by the Pairing Project of Qilu University of Technology under Grant No. 2024JDJH06.

语种：英文

外文关键词：Cascading failures; Cyber-physical power system; Markov chain; Human error; Renewable energy

摘要：This paper proposes SASE-HR, a continuous-time Markov chain framework for evaluating cas cading failures in cyber-physical power systems. Existing models frequently fail to capture the compounding feedback loops among physical tripping, communication congestion, and human operator stress. SASE-HR overcomes these limitations by explicitly integrating renewable genera tion volatility, nonlinear cyber-network degradation, and dynamic operator error into a cohesive stochastic model. By mapping rapid electromagnetic transients to quasi-steady-state transitions, the model computes outage distributions and survivability metrics without inducing state-space explosion. Calibrated against the 2003 U.S. blackout and validated on IEEE bus systems with different topologies, the framework reveals a strictly non-monotonic relationship between renew able penetration and system resilience. Specifically, for a fixed level of operator competence, an intermediate renewable penetration range maximizes post-cascade survivability, whereas both excessively low and extremely high penetrations exacerbate outage severity. SASE-HR provides a computationally tractable, system-level screening tool for reliable grid planning under multi-domain uncertainty.