TY - GEN
T1 - Evaluating power system vulnerability to false data injection attacks via scalable optimization
AU - Chu, Zhigang
AU - Zhang, Jiazi
AU - Kosut, Oliver
AU - Sankar, Lalitha
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/8
Y1 - 2016/12/8
N2 - Physical consequences to power systems of false data injection cyber-attacks are considered. Prior work has shown that the worst-case consequences of such an attack can be determined using a bi-level optimization problem, wherein an attack is chosen to maximize the physical power flow on a target line subsequent to re-dispatch. This problem can be solved as a mixed-integer linear program, but it is difficult to scale to large systems due to numerical challenges. Three new computationally efficient algorithms to solve this problem are presented. These algorithms provide lower and upper bounds on the system vulnerability measured as the maximum power flow subsequent to an attack. Using these techniques, vulnerability assessments are conducted for IEEE 118-bus system and Polish system with 2383 buses.
AB - Physical consequences to power systems of false data injection cyber-attacks are considered. Prior work has shown that the worst-case consequences of such an attack can be determined using a bi-level optimization problem, wherein an attack is chosen to maximize the physical power flow on a target line subsequent to re-dispatch. This problem can be solved as a mixed-integer linear program, but it is difficult to scale to large systems due to numerical challenges. Three new computationally efficient algorithms to solve this problem are presented. These algorithms provide lower and upper bounds on the system vulnerability measured as the maximum power flow subsequent to an attack. Using these techniques, vulnerability assessments are conducted for IEEE 118-bus system and Polish system with 2383 buses.
UR - http://www.scopus.com/inward/record.url?scp=85010209445&partnerID=8YFLogxK
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U2 - 10.1109/SmartGridComm.2016.7778771
DO - 10.1109/SmartGridComm.2016.7778771
M3 - Conference contribution
AN - SCOPUS:85010209445
T3 - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
SP - 260
EP - 265
BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Y2 - 6 November 2016 through 9 November 2016
ER -