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Security of Fully Distributed Power System State Estimation: Detection and Mitigation of Data Integrity Attacks
KTH, School of Electrical Engineering (EES), Communication Networks.
KTH, School of Electrical Engineering (EES), Communication Networks.ORCID iD: 0000-0002-4876-0223
2014 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 32, no 7, 1500-1508 p.Article in journal (Refereed) Published
Abstract [en]

State estimation (SE) plays an essential role in the monitoring and supervision of power systems. In today's power systems, SE is typically done in a centralized or in a hierarchical way, but as power systems will be increasingly interconnected in the future smart grid, distributed SE will become an important alternative to centralized and hierarchical solutions. As the future smart grid may rely ondistributed SE, it is essential to understand the potential vulnerabilities that distributed SE may have. In this paper, we show that an attacker that compromises the communication infrastructure of a single control center in an interconnected power system can successfully perform a denial-of-service attack against state-of-the-art distributed SE, and consequently, it can blind the system operators of every region. As a solution to mitigate such a denial-of-service attack, we propose a fully distributed algorithm for attack detection. Furthermore, we propose a fully distributed algorithm that identifies the most likelyattack location based on the individual regions' beliefs about the attack location, isolates the identified region, and then reruns the distributed SE. We validate the proposed algorithms on the IEEE 118 bus benchmark power system.

Place, publisher, year, edition, pages
IEEE Press, 2014. Vol. 32, no 7, 1500-1508 p.
Keyword [en]
distributed power system state estimation, data integrity attacks, detection, false data injection, mitigation, security
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
URN: urn:nbn:se:kth:diva-152219DOI: 10.1109/JSAC.2014.2332106ISI: 000342913600016ScopusID: 2-s2.0-84906700148OAI: diva2:749264
EIT ICTLabs ASES 13030
Swedish Research Council, 2010:5812

QC 20140924

Available from: 2014-09-23 Created: 2014-09-23 Last updated: 2014-11-06Bibliographically approved

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