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Hybrid Robust Tri-Level Defense Model Against Multiperiod Uncertain Attacks

Min Du, Xuan Liu, Quan Zhou, Zuyi Li

2021IEEE Transactions on Smart Grid28 citationsDOI

Abstract

Modern power system faces high risks of multi-period uncertain attacks, call for effective countermeasures. In this paper, we propose a hybrid robust tri-level defender–attacker–defender (DAD) model to mitigate the multi-period attack risk by minimizing the expected load loss for the power system. The proposed model integrates the N-K criterion and attack scenario uncertainties to provide a resilient defense strategy. It also considers the optimal allocation of offensive resources during multi periods of an attack to develop a more practical defense to develop a more practical defense strategy. The column-and-constraint generation algorithm is applied to derive its optimal solutions. Extensive case studies using the IEEE RTS79 and RTS96 systems are conducted to validate the effectiveness of the proposed approach.

Topics & Concepts

Constraint (computer-aided design)Electric power systemMathematical optimizationOffensiveComputer scienceRobustness (evolution)Power (physics)Robust optimizationReliability engineeringOperations researchEngineeringMathematicsChemistryMechanical engineeringGeneBiochemistryQuantum mechanicsPhysicsSmart Grid Security and ResilienceInfrastructure Resilience and Vulnerability AnalysisPower System Reliability and Maintenance
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