Malicious Corruption-Resilient Wide-Area Oscillation Monitoring using Online Robust PCA

Kaveri Mahapatra, Nilanjan Ray Chaudhuri

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

8 Scopus citations

Abstract

Presence of malicious injection originating from cyber attacks in PMU measurements can potentially affect the operation and stability of power system. This paper presents a method for detecting malicious data injections in PMU measurements. The problem of detection of malicious injections is formulated as a compressed sensing problem and the corrupted signals are recovered using a robust PCA-based algorithm. Different patterns of malicious injection attacks on PMU data are considered and the effect of corruption and reconstruction using the algorithm is analyzed on a wide-area oscillation monitoring application. Data from a 16-machine, 5-area New England-New York system is used along with a recursive oscillation monitoring algorithm to test and validate the effectiveness of the proposed approach on correct detection and reconstruction of the PMU signals under both ambient and transient conditions.

Original languageEnglish (US)
Title of host publication2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538677032
DOIs
StatePublished - Dec 21 2018
Event2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States
Duration: Aug 5 2018Aug 10 2018

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2018-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Country/TerritoryUnited States
CityPortland
Period8/5/188/10/18

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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