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Impact Assessment of Hypothesized Cyberattackson Interconnected Bulk Power Systems
Electrical and Computer Engineering Department, Michigan Technological University, Houghton, MI.
Electrical and Computer Engineering Department, Michigan Technological University, Houghton, MI.
Electrical and Computer Engineering Department, Michigan Technological University, Houghton, MI.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
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2017 (English)In: IEEE Transactions on Smart Grid, ISSN 1949-3053, E-ISSN 1949-3061Article in journal (Refereed) Epub ahead of print
Abstract [en]

The first-ever Ukraine cyberattack on power grid has proven its devastation by hacking into their critical cyber assets. With administrative privileges accessing substation networks/ local control centers, one intelligent way of coordinated cyberattacks is to execute a series of disruptive switching executions on multiple substations using compromised supervisory control and data acquisition (SCADA) systems. These actions can cause significant impacts to an interconnected power grid. Unlike the previous power blackouts, such high-impact initiating events can aggravate operating conditions, initiating instability that may lead to system-wide cascading failure. A systemic evaluation of “nightmare” scenarios is highly desirable for asset owners to manage and prioritize the maintenance and investment in protecting their cyberinfrastructure. This survey paper is a conceptual expansion of real-time monitoring, anomaly detection, impact analyses, and mitigation (RAIM) framework that emphasizes on the resulting impacts, both on steady-state and dynamic aspects of power system stability. Hypothetically, we associate the combinatorial analyses of steady state on substations/components outages and dynamics of the sequential switching orders as part of the permutation. The expanded framework includes (1) critical/noncritical combination verification, (2) cascade confirmation, and (3) combination re-evaluation. This paper ends with a discussion of the open issues for metrics and future design pertaining the impact quantification of cyber-related contingencies

Place, publisher, year, edition, pages
2017.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
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URN: urn:nbn:se:ltu:diva-62861DOI: 10.1109/TSG.2017.2656068OAI: oai:DiVA.org:ltu-62861DiVA: diva2:1086582
Available from: 2017-04-03 Created: 2017-04-03 Last updated: 2017-04-21

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