Cascading Failure Propagation of Modular Cyber-Physical Power Systems Under Information Attacks

被引:0
作者
Gao, Xingle [1 ]
Xu, Xing [2 ]
Lai, Yuping [3 ]
Zhang, Ji [1 ]
Zhang, Hongmei [1 ]
Gao, Ming [1 ]
Peng, Minfang [3 ]
机构
[1] State Grid Hebei Elect Power Co Ltd, Econ & Technol Res Inst, Shijiazhuang 050000, Hebei, Peoples R China
[2] State Grid Hebei Elect Power Co Ltd, Informat & Commun Branch, Shijiazhuang 050000, Hebei, Peoples R China
[3] Hunan Univ, Coll Elect & Informat Engn, Changsha 410000, Peoples R China
来源
PROCEEDINGS OF 2023 INTERNATIONAL CONFERENCE ON WIRELESS POWER TRANSFER, VOL 3, ICWPT 2023 | 2024年 / 1160卷
基金
中国国家自然科学基金;
关键词
Cyber-physical power system; Cascading failure; Modular coupled system; Malware attacks; Interdependent network; DYNAMICS;
D O I
10.1007/978-981-97-0865-9_38
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, a cascading model combining operation dynamics and network structure of modular cyber-physical power system is proposed, and the impact of malware attacks on the cascading failure of modular system is analyzed. First, considering the structural and functional characteristics of the cyber-physical power system, a heterogeneous modular coupled network model is established. Then, the effects of malware spreading in information network and power flow overload in power grid on the cascading failure are analyzed. Finally, the impacts of attack strategies, community structure strength and coupling mode on the cascading failure are investigated. The results indicate that there is an optimal time point for malware to attack the power grid, and the attack strategy based on betweenness distribution of power nodes is more destructive. Furthermore, each initial propagation time of malware corresponds to a specific community structure strength of information network, which makes malware attacks more effective. Moreover, the disassortative coupling mode can improve the robustness of the system against malware attacks.
引用
收藏
页码:353 / 361
页数:9
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