Allocation of defensive and restorative resources in electric power system against consecutive multi-target attacks. (March 2022)

• Record Type: Journal Article
• Authors: Wu, Yipeng; Chen, Zhilong; Dang, Junhu; Chen, Yicun; Zhao, Xudong; Zha, Lvying
• Is Part Of: Reliability engineering & system safety. Volume 219(2022)
• Publication Date: 2022-03
• Subjects: Resource allocation -- Multi-target attack -- Multilevel programming -- Intelligent decision; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2021.108199
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: Because the infrastructure network itself has the characteristics of cascading failures, deliberate attackers will often take advantage of these internal dependencies to perform long-term multi-target strikes, which the paper calls consecutive multi-target attacks. This kind of continuous external destruction on the time scale will increase the chain effect of cascading failures within the system. Among these infrastructure networks, electric power systems are particularly critical, because most of the other infrastructures need electricity for their operation and management, and the cascading failure of the power network is more serious. Thus, this paper comprehensively considers external consecutive multi-target attacks and internal cascading failure propagation, establishes a defense-attack-recovery tri-level game optimization model, and study how to allocate defensive and restorative resources from a macro perspective to improve the strategic resilience of the power supply system. In order to solve the optimization model, the paper proposes a nested heuristic algorithm, and proposes a performance response function that combines the power flow operating characteristics and external failure events, and then uses the IEEE 39-bus network as a case study to verify the effectiveness of the model and algorithm. Highlights: Propose a strike pattern of consecutive multi-target attack (CMTA) for CIS. Propose a tri-level dynamic game-theoretic model to allocate resources against CMTA. A PRF based on external attacks, internal cascading and functional characteristics. An improved variable neighborhood algorithm to solve the tri-level programming.