TY - GEN
T1 - Detecting False Data Injection Attacks to Battery State Estimation Using Cumulative Sum Algorithm
AU - Obrien, Victoria
AU - Trevizan, Rodrigo D.
AU - Rao, Vittal S.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Estimated parameters in Battery Energy Storage Systems (BESSs) may be vulnerable to cyber-attacks such as False Data Injection Attacks (FDIAs). FDIAs, which typically evade bad data detectors, could damage or degrade Battery Energy Storage Systems (BESSs). This paper will investigate methods to detect small magnitude FDIA using battery equivalent circuit models, an Extended Kalman Filter (EKF), and a Cumulative Sum (CUSUM) algorithm. A priori error residual data estimated by the EKF was used in the CUSUM algorithm to find the lowest detectable FDIA for this battery equivalent model. The algorithm described in this paper was able to detect attacks as low as 1 mV, with no false positives. The CUSUM algorithm was compared to a chi-squared based FDIA detector. In this study the CUSUM was found to detect attacks of smaller magnitudes than the conventional chi-squared detector.
AB - Estimated parameters in Battery Energy Storage Systems (BESSs) may be vulnerable to cyber-attacks such as False Data Injection Attacks (FDIAs). FDIAs, which typically evade bad data detectors, could damage or degrade Battery Energy Storage Systems (BESSs). This paper will investigate methods to detect small magnitude FDIA using battery equivalent circuit models, an Extended Kalman Filter (EKF), and a Cumulative Sum (CUSUM) algorithm. A priori error residual data estimated by the EKF was used in the CUSUM algorithm to find the lowest detectable FDIA for this battery equivalent model. The algorithm described in this paper was able to detect attacks as low as 1 mV, with no false positives. The CUSUM algorithm was compared to a chi-squared based FDIA detector. In this study the CUSUM was found to detect attacks of smaller magnitudes than the conventional chi-squared detector.
KW - anomaly detection
KW - battery management systems
KW - cumulative sum
KW - false data injection attacks
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=85124356855&partnerID=8YFLogxK
U2 - 10.1109/NAPS52732.2021.9654567
DO - 10.1109/NAPS52732.2021.9654567
M3 - Conference contribution
AN - SCOPUS:85124356855
T3 - 2021 North American Power Symposium, NAPS 2021
BT - 2021 North American Power Symposium, NAPS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 North American Power Symposium, NAPS 2021
Y2 - 14 November 2021 through 16 November 2021
ER -