Cascading failure analysis of an interdependent network with power-combat coupling

doi:10.23919/JSEE.2024.000118

Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (2): 405-422.doi: 10.23919/JSEE.2024.000118

• SYSTEMS ENGINEERING • Previous Articles

Cascading failure analysis of an interdependent network with power-combat coupling

Yang WANG¹(), Junyong TAO¹(), Yun’an ZHANG¹^,*(), Guanghan BAI¹(), Hongyan DUI²()

¹ National Key Laboratory of Equipment State Sensing and Smart Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
² School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China

Received:2023-07-21 Online:2025-04-18 Published:2025-05-20
Contact: Yun’an ZHANG E-mail:wangyangwy@nudt.edu.cn;taojunyong@nudt.edu.cn;yazhang@nudt.edu.cn;baiguanghan@nudt.edu.cn;duihongyan@zzu.edu.cn
About author:
WANG Yang was born in 1991. She received her M.S. degree from Beihang University in 2017. She is currently pursuing her Ph.D. degree with National University of Defense Technology, Changsha, China. Her research interests include system reliability and system resilience. E-mail: wangyangwy@nudt.edu.cn

TAO Junyong was born in 1969. He received his Ph.D. degree in mechanical engineering from National University of Defense Technology, Changsha, China, in 2000. He is currently a professor with the Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology. His research interests include reliability test and evaluation. E-mail: taojunyong@nudt.edu.cn

ZHANG Yun’an was born in 1983. He received his Ph.D. degree in mechanical engineering from National University of Defense Technology, Changsha, China, in 2014. He is currently an associate professor with the Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology. His research interest includes system reliability. E-mail: yazhang@nudt.edu.cn

BAI Guanghan was born in 1986. He received his Ph.D. degree in mechanical engineering from University of Alberta, Edmonton, Canada, in 2016. He is currently an associate professor with the Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology. His research interests include network reliability and system resilience. E-mail: baiguanghan@nudt.edu.cn

DUI Hongyan was born in 1982. He received his Ph.D. degree in management science and engineering from Northwestern polytechnical University, Xi’an, China, in 2013. He is a professor with the School of Management, Zhengzhou University, Zhengzhou, China. His research interests include reliability and resilience modeling, analysis and optimization of complex systems and networks, including wireless sensor networks and Internet of Things systems and applications. E-mail: duihongyan@zzu.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (72271242) and Hunan Provincial Natural Science Foundation of China for Excellent Young Scholars (2022JJ20046).

Abstract

Abstract:

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.

Key words: cascading failure, survivability analysis, interdependent network, power-combat (P-C) coupling

Yang WANG, Junyong TAO, Yun’an ZHANG, Guanghan BAI, Hongyan DUI. Cascading failure analysis of an interdependent network with power-combat coupling[J]. Journal of Systems Engineering and Electronics, 2025, 36(2): 405-422.

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References 39

1	WEI Y, SONG K S, KIM D S Message oriented management and analysis tool for naval combat systems. IFAC Proceedings Volumes, 2014, 47 (3): 10524- 10528.
2	TU H C, GU F Q, ZHANG X, et al Robustness analysis of power system under sequential attacks with incomplete information. Reliability Engineering & System Safety, 2023, 232, 109048.
3	AZZOLIN A, DUENAS-OSORIO L, CADINI F, et al Electrical and topological drivers of the cascading failure dynamics in power transmission networks. Reliability Engineering & System Safety, 2018, 175, 196- 206.
4	MA X Y, ZHOU H J, LI Z Y On the resilience of modern power systems: a complex network perspective. Renewable and Sustainable Energy Reviews, 2021, 152, 111646. doi: 10.1016/j.rser.2021.111646
5	YANG K W, LI J C, LIU M D, et al Complex systems and network science: a survey. Journal of Systems Engineering and Electronics, 2023, 34 (3): 543- 573. doi: 10.23919/JSEE.2023.000080
6	LIU T, BAI G H, TAO J Y, et al. Modeling and evaluation method for resilience analysis of multi-state networks. Reliability Engineering & System Safety 2022, 226: 108663.
7	ZHOU X X, BAI G H, TAO J Y, et al An improved method to search all minimal paths in networks. IEEE Trans. on Reliability, 2023, 72 (4): 1420- 1431. doi: 10.1109/TR.2023.3234055
8	SHIN D H, QIAN D J, ZHANG J S Cascading effects in interdependent networks. IEEE Network, 2014, 28 (4): 82- 87. doi: 10.1109/MNET.2014.6863136
9	YANG Y H, LI J H, SHEN D, et al Evolutionary dynamics analysis of complex network with fusion nodes and overlap edges. Journal of Systems Engineering and Electronics, 2018, 29 (3): 549- 559.
10	WU Y P, CHEN Z L, ZHAO X D, et al Robust analysis of cascading failures in complex networks. Physica A: Statistical Mechanics and Its Applications, 2021, 583, 126320. doi: 10.1016/j.physa.2021.126320
11	FU G H, DAWSON R, KHOURY M, et al Interdependent networks: vulnerability analysis and strategies to limit cascading failure. The European Physical Journal B, 2014, 87 (7): 148. doi: 10.1140/epjb/e2014-40876-y
12	WANG Z, HU Z Y, YANG X F Multi-agent and ant colony optimization for ship integrated power system network reconfiguration. Journal of Systems Engineering and Electronics, 2022, 33 (2): 489- 496. doi: 10.23919/JSEE.2022.000048
13	ZHAO Y X, CAI B P, KANG H H-S, et al. Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network. Reliability Engineering & System Safety, 2023, 231: 109007.
14	WU F Z, YANG J, JIANG H, et al Cascading failure in coupled networks of transportation and power grid. International Journal of Electrical Power & Energy Systems, 2022, 140, 108058.
15	PARSHANI R, ROZENBLAT C, IETRI D, et al Inter-similarity between coupled networks. Europhysics Letters, 2010, 92 (6): 68002. doi: 10.1209/0295-5075/92/68002
16	BULDYREV S V, PARSHANI R, PAUL G, et al Catastrophic cascade of failures in interdependent networks. Nature, 2010, 464 (7291): 1025- 1028. doi: 10.1038/nature08932
17	WANG N, JIN Z Y, ZHAO J. Cascading failures of overload behaviors on interdependent networks. Physica A: Statistical Mechanics and its Applications, 2021, 574: 125989.
18	HERNANDEZ-FAJARDO I, DUENAS-OSORIO L Probabilistic study of cascading failures in complex interdependent lifeline systems. Reliability Engineering & System Safety, 2013, 111, 260- 272.
19	TU H C, XIA Y X, WU J J, et al Robustness assessment of cyber–physical systems with weak interdependency. Physica A: Statistical Mechanics and Its Applications, 2019, 522, 9- 17.
20	GAO J, BULDYREV S V, STANLEY H E, et al Networks formed from interdependent networks. Nature Physics, 2012, 8 (1): 40- 48. doi: 10.1038/nphys2180
21	XU X L, ZHANG Q T, MOU Y Q, et al. Server load prediction algorithm based on CM-MC for cloud systems. Journal of Systems Engineering and Electronics, 2018, 29(5): 1069−1078.
22	ZHAO X, LI R, CAO S, et al Joint modeling of loading and mission abort policies for systems operating in dynamic environments. Reliability Engineering & System Safety, 2023, 230, 108948.
23	WU C S, ZHAO X, WANG S Q, et al Reliability analysis of consecutive-k-out-of-r-from-n subsystems: F balanced systems with load sharing. Reliability Engineering & System Safety, 2022, 228, 108776.
24	FU X W, WANG Y, YANG Y S, et al Analysis on cascading reliability of edge-assisted Internet of Things. Reliability Engineering & System Safety, 2022, 223, 108463.
25	CHEN Y, MA Q C, WANG Z, et al Reliability analysis of k-out-of-n system with load-sharing and failure propagation effect. Journal of Systems Engineering and Electronics, 2021, 32 (5): 1221- 1231. doi: 10.23919/JSEE.2021.000104
26	FU X W, PACE P, ALOI G, et al Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm. Computer Networks, 2020, 177, 107327. doi: 10.1016/j.comnet.2020.107327
27	GAO J Z, YIN Y F, FIONDELLA L, et al. Recovery of coupled networks after cascading failures. Journal of Systems Engineering and Electronics, 2018, 29(3): 650−657.
28	WU J J, SUN H J, GAO Z Y Cascading failures on weighted urban traffic equilibrium networks. Physica A: Statistical Mechanics and Its Applications, 2007, 386 (1): 407- 413. doi: 10.1016/j.physa.2007.08.034
29	BRUMMITT C D, DSOUZA R M, LEICHT E A Suppressing cascades of load in interdependent networks. Proceedings of the National Academy of Sciences, 2012, 109 (12): 680- 689.
30	WANG S L, HONG L, CHEN X G, et al. Review of interdependent infrastructure systems vulnerability analysis. Proc. of the 2nd International Conference on Intelligent Control and Information Processing, 2011: 446–451.
31	ALBERT R, JEONG H, BARABASI A-L Error and attack tolerance of complex networks. Nature, 2000, 406 (6794): 378- 382. doi: 10.1038/35019019
32	WU J, BARAHONA M, TAN Y J, et al Spectral measure of structural robustness in complex networks. IEEE Trans. on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2011, 41 (6): 1244- 1252. doi: 10.1109/TSMCA.2011.2116117
33	SHANG H L, ZHANG X K, YE Z Q, et al Operation loop-based network design model for defense resource allocation with uncertainty. IEEE Systems Journal, 2019, 13 (1): 477- 488. doi: 10.1109/JSYST.2018.2827206
34	DI P, HU T, HU B, et al Research on invulnerability of combat net model based on complex networks. Journal of System Simulation, 2011, 23 (1): 56- 60.
35	QIANG Z, SONG T L, CAO J H, et al Evolution model of equipment support network considering interdependent relationship. Acta Armamentarii, 2019, 40 (9): 1918.
36	WANG K, ZHANG B H, ZHANG Z, et al. An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load. Physica A: Statistical Mechanics and its Applications, 2011, 390(23/24): 4692–4701.
37	ZHANG Y R, YAGAN O. Modeling and analysis of cascading failures in interdependent cyber-physical systems. Proc. of the IEEE Conference on Decision and Control, 2018: 4731–4738.
38	DELLER S BOLLING S R, RABADI G A, et al Applying the information age combat model: quantitative analysis of network centric operations. The International C2 Journal, 2009, 3 (1): 1- 25.
39	CARES J R. An information age combat model. Newport: Alidade Incorporated‌, 2004.

Node connection	Definition
T→S	The target nodes are found by the reconnaissance and surveillance nodes
S→S	Information sharing between reconnaissance and surveillance nodes
S→D	The decision-making nodes receive an investigation report from the reconnaissance and surveillance nodes
D→D	Decisions are made collaboratively via decision-making nodes
D→S	Decision-making nodes assign reconnaissance tasks to reconnaissance and surveillance nodes
D→I	The influence nodes receive strike tasks from the decision-making nodes
I→T	Target nodes are attacked by influence nodes

Node connection	Definition
T→S→D→I→T	General OL
T→S→S→D→I→T	Information sharing OL
T→S→D→D→I→T	Collaborative decision OL
T→S→S→D→D→I→T	Shared and collaborative OL
T→S→D→S→D→I→T	Information feedback OL
T→S→S→D→S→D→I→T	Sharing and feedback OL
T→S→D→D→S→D→I→T	Coordination and feedback OL

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[2]	Jiazi GAO, Yongfeng YIN, Lance FIONDELLA, Lijun LIU. Recovery of coupled networks after cascading failures [J]. Journal of Systems Engineering and Electronics, 2018, 29(3): 650-657.

Cascading failure analysis of an interdependent network with power-combat coupling

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