Cascading Failure Analysis of an Interdependent Network with Power-Combat Coupling
Cutting off or controlling the enemy's power supply at critical moments or strategic locations may result in a cascade failure, thus gaining an advantage in a war. However, the existing cascading failure modeling analysis of interdependent networks is insufficient for describing the load characteristics and dependencies of subnetworks, and it is difficult to use for modeling and failure analysis of power-combat (P-C) coupling networks. This paper considers the physical characteristics of the two subnetworks and studies the mechanism of fault propagation between subnetworks and across systems. Then the survivability of the coupled network is evaluated. Firstly, an integrated modeling approach for the combat system and power system is predicted based on interdependent network theory. A heterogeneous one-way interdependent network model based on probability dependence is constructed. Secondly, using the operation loop theory, a load-capacity model based on combat-loop betweenness is proposed, and the cascade failure model of the P-C coupling system is investigated from three perspectives: initial capacity, allocation strategy, and failure mechanism. Thirdly, survivability indexes based on load loss rate and network survival rate are proposed. Finally, the P-C coupling system is constructed based on the IEEE 118-bus system to demonstrate the proposed method.
Authors
- Hongyan Dui (ORCID: https://orcid.org/0000-0002-2277-6454)
- Guanghan Bai (ORCID: https://orcid.org/0000-0001-8238-7656)
- Yang Wang (ORCID: https://orcid.org/0000-0003-1588-3208)
- Yunan Zhang (ORCID: https://orcid.org/0009-0004-1858-4865)
- Junyong Tao
Institutions
- National University of Defense Technology (CN)
- Zhengzhou University (CN)
Publication Details
- Journal
- Journal of Systems Engineering and Electronics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.23919/jsee.2024.000118
- Primary Topic
- Infrastructure Resilience and Vulnerability Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China