TY - GEN
T1 - Robust and Scalable Game-Theoretic Security Investment Methods for Voltage Stability of Power Systems
AU - An, Lu
AU - Shukla, Pratishtha
AU - Chakrabortty, Aranya
AU - Duel-Hallen, Alexandra
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We develop investment approaches to secure electric power systems against load attacks where a malicious intruder (the attacker) covertly changes reactive power setpoints of loads to push the grid towards voltage instability while the system operator (the defender) employs reactive power compensation (RPC) to prevent instability. Extending our previously reported Stackelberg game formulation for this problem, we develop a robust-defense sequential algorithm and a novel genetic algorithm that provides scalability to large-scale power system models. The proposed methods are validated using IEEE prototype power system models with time-varying load uncertainties, demonstrating that reliable and robust defense is feasible unless the operator's RPC investment resources are severely limited relative to the attacker's resources.
AB - We develop investment approaches to secure electric power systems against load attacks where a malicious intruder (the attacker) covertly changes reactive power setpoints of loads to push the grid towards voltage instability while the system operator (the defender) employs reactive power compensation (RPC) to prevent instability. Extending our previously reported Stackelberg game formulation for this problem, we develop a robust-defense sequential algorithm and a novel genetic algorithm that provides scalability to large-scale power system models. The proposed methods are validated using IEEE prototype power system models with time-varying load uncertainties, demonstrating that reliable and robust defense is feasible unless the operator's RPC investment resources are severely limited relative to the attacker's resources.
KW - Game Theory
KW - Load attacks
KW - Power Systems
KW - Robust defense
KW - Security investment
KW - Voltage stability
UR - http://www.scopus.com/inward/record.url?scp=85184824665&partnerID=8YFLogxK
U2 - 10.1109/CDC49753.2023.10383722
DO - 10.1109/CDC49753.2023.10383722
M3 - Conference contribution
AN - SCOPUS:85184824665
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 7061
EP - 7066
BT - 2023 62nd IEEE Conference on Decision and Control, CDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 62nd IEEE Conference on Decision and Control, CDC 2023
Y2 - 13 December 2023 through 15 December 2023
ER -