 Optimal cooperative cyber–physical attack strategy against gas–electricity interconnected systemChongxin Huang, Shuai Fu, Minglei Hong and Song Deng Energy, 2023, vol. 285, issue C Abstract: In the context of the in-depth integration of the cyber system and the physical system, cooperative cyber–physical attacks (CCPAs) pose an increasing threat to the security and economy of the integrated energy system (IES). In this article, considering a gas–electricity interconnected IES, a new bi-level programming model is formulated to study the impact of the CCPA strategies on the economy of the IES. At the upper level, from the attacker’s perspective, an attack decision model is built to maximize the operational expenditure of the IES subject to the attack resource constraints. At the lower level, from the dispatcher’s perspective, an optimal scheduling model is established to minimize the operation cost in the case of the IES suffering from the CCPAs. Since the bi-level programming model is mixed-integer, nonlinear, and non-convex, a joint solution method (PSO+Yalmip+Cplex) is proposed to compute the optimal CCPA strategies. The impacts of the CCPA strategies on the economic dispatch (ED) of the IES are evaluated via numerical simulations. Keywords: Integrated energy system; Cooperative cyber–physical attack; Bi-level programming model; Particle swarm optimization (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:285:y:2023:i:c:s0360544223019072 DOI: 10.1016/j.energy.2023.128513 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.