TY - GEN
T1 - Malicious Corruption-Resilient Wide-Area Oscillation Monitoring using Online Robust PCA
AU - Mahapatra, Kaveri
AU - Chaudhuri, Nilanjan Ray
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85060809720&partnerID=8YFLogxK
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U2 - 10.1109/PESGM.2018.8586404
DO - 10.1109/PESGM.2018.8586404
M3 - Conference contribution
AN - SCOPUS:85060809720
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 10 August 2018
ER -