Fast, approximate state estimation-based approach for cyber threat detection in power systems

A. Chattopadhyay, S. Dasgupta, R. Macwan, A. Valdes, G. Gross, P. W. Sauer, R. Nuqui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Increasing reliance on cyber-components for communication and control has made cybersecurity in power systems an increasing concern. While Information technology (IT) based detection and prevention methods are deployed to detect cyber threats, leveraging of the system physics provides a complementary detection scheme. Here, we consider malicious power order threats directed at a high-voltage direct current (HVDC) line in a large AC network. A fast, approximate tracking state estimation method is investigated that uses a reduced iteration count and measurement prioritization using power transfer distribution factors (PTDF) to rapidly compute the approximate injections at the AC buses of the HVDC line as a power order is executed. The algorithm's accuracy in tracking the system's change is investigated. It is observed that with the above methods, the estimator can achieve results within 5% of the true injection. Deviations from the expected injection can be understood to be indicative of a compromised power order.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3176-3185
Number of pages10
ISBN (Electronic)9780998133133
StatePublished - 2020
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: Jan 7 2020Jan 10 2020

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period1/7/201/10/20

ASJC Scopus subject areas

  • General Engineering

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