Distributionally Robust Coordinated Defense Strategy for Time-Sensitive Networking Enabled Cyber-Physical Power System

被引:3
作者
Li, Xin [1 ,2 ]
Xu, Qimin [1 ,2 ]
Lu, Xuanzhao [1 ,2 ]
Lin, Meihan [1 ,2 ]
Chen, Cailian [1 ,2 ]
Guan, Xinping [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Key Lab Syst Control & Informat Proc, Minist Educ China, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Engn Res Ctr Intelligent Control & Manage, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Cyber-physical power system; cyber-physical interdependence; time-sensitive networking; distributionally robust optimization; OPTIMIZATION; RESILIENCE;
D O I
10.1109/TSG.2024.3353214
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cyber-physical power system (CPPS) stability is severely affected by the communication network performance due to cyber-physical interdependence. Thus, uncertain cyber-physical coordinated attacks (CPCA) pose more significant threats to CPPS than physical attacks. However, the defense strategies in recent works assume real-time and reliable transmission under an ideal cyber-attack, leading to inaccurate cyber-physical interdependence modeling. Therefore, the strategies are ineffective against uncertain CPCA. This paper proposes a hierarchical CPPS network architecture that integrates time-sensitive networking (TSN) to improve resilience against uncertain CPCA. To model the uncertain CPCA, a coordinated N-K ambiguity set is proposed considering all possible link failures on both cyber and physical layers. For the cyber layer, we propose a joint routing-scheduling model of TSN-based network to support deterministic and reliable data transmission, which improves the accuracy of cyber-physical interdependence. A distributionally robust coordinated defense (DRCD) strategy integrated with cyber-physical interdependence is then proposed to mitigate the priority-based load shedding considering the uncertainties of CPCA. The formulated DRCD strategy is linearized and transformed into a tri-level optimization problem which is efficiently solved by C-CG algorithm. Case studies indicate that the DRCD strategy has superiorities in improving the resilience of CPPS compared with other conventional models.
引用
收藏
页码:3278 / 3287
页数:10
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