Analysis of electric grid security under terrorist threat

By Javier Salmerón, Kevin Wood, Ross Baldick. IEEE Transactions on Power Systems, 2004

588 citations recorded by the source corpus.

We describe new analytical techniques to help mitigate the disruptions to electric power grids caused by terrorist attacks. New bilevel mathematical models and algorithms identify critical system components (e.g., transmission lines, generators, transformers) by creating maximally disruptive attack plans for terrorists assumed to have limited offensive resources. We report results for standard reliability test networks to show that the techniques identify critical components with modest computational effort.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4b10e5cb02f7f04f00b0db034151353fda2acd44

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Citations in the corpus

Analyzing the Vulnerability of Critical Infrastructure to Attack and Planning Defenses (2005, background): “…taking available supply (“take-or-pay penalties”) ($/mmbbl/day) c3 vector of penalties for unmet demand (e.g., spot-market cost) ($/mmbbl/day) Î2 incomplete diagonal matrix with a 1 for each supply node, but 0 elsewhere Î3 incomplete diagonal matrix with a 1 for each demand node, but 0 elsewhere”
Planning for Disruptions in Supply Chain Networks (2006, background): “Worst-Case Cost The concept of protection against worst-case losses for network models has been briefly discussed in [14, 74].”
Protecting Critical Assets: The r-interdiction median problem with fortification (2007, background): “This concept of hardening or fortifying infrastructure against terrorism was recently discussed by Salmeron, Wood, and Baldick (2004) within the context of the electrical power grid.”
A bilevel mixed-integer program for critical infrastructure protection planning (2008, background): “Whereas interdiction problems have received vast attention in the literature, the more complex problem which includes an additional level of protection has only been fleetingly mentioned by a few authors [9,7].”
A Linear-Programming Approximation of AC Power Flows (2012, background): “Optimization of power systems encompasses a broad spectrum of problem domains, including optimal power flow [59, 3, 55, 26, 17, 50, 11, 2, 23, 34, 35], LMP-base market calculations [39, 48, 37], transmission switching [14, 18, 22], real-time security-constrained dispatch [60, 53], day-ahead security”
Safe and Secure Networked Control Systems under Denial-of-Service Attacks (2009, background): “Therefore, analyzing the security of control systems is a growing concern [4,7,12,13,15,18].”
Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach (2007, background): “…considered to be transportation (including roads, bridges, water, and rail), energy (including electric power, gas, and liquid fuels), telecommunications (including telegraph, telephone, wireless, and Internet/digital), and finally, water (including wastewater facilities and water supplies).”
SEARCH GAMES : LITERATURE AND SURVEY (2016, methodology): “In the second, Salmeron et al. (2004) [217] proposed a good way to mitigate damage inflicted by terrorist attacks on electric power grids using a Stackelberg NIG.”
Reliability engineering: Old problems and new challenges (2009, methodology): “…methods of quantitative scenario analysis (Haarla et al., 2008; Koonce et al., 2007; Bier et al., 2006; Michaud et al., 2006; Patterson et al., 2006; Salmeron et al., 2004) and agent-based modeling to further deepen the vulnerability assessment of the screened scenarios (Schlapfer et al., 2008).”
Robust Defense Strategy for Gas–Electric Systems Against Malicious Attacks (2016, background): “The vulnerability assessment for power systems alone is extensively studied in [10]–[14].”
Modeling Load Redistribution Attacks in Power Systems (2011, background): “Recent works have addressed the vulnerability analysis of the power systems under physical terrorist attacks [2]–[8].”
Defending Critical Infrastructure (2006, methodology): “We have produced a complete decision-support sys-tem called the Vulnerability of Electric Grids Analyzer (VEGA) that uses an AD model to identify critical components in a power grid (Salmerón et al. 2004a, b; Brown et al. 2005a).”