Defender–attacker–defender model for power system resilience enhancement with protection invalidity and transmission switching

Read full text
Authors: Yuxiong Huang, Hongrui Lu, Chenwei Gao, Xuanman Rong, Guoliang Li, Zhaohong Bie
Cited by: 3
References: 40

Abstract

The defender–attacker–defender (DAD) model is widely used for the robust resilience enhancement of power systems. However, previous studies fail to account for time-varying component failure probabilities and assume invulnerable pre-event defenses. While this simplification avoids decision-dependent uncertainty (DDU) between decision-making stages, it introduces decision bias. Additionally, the benefits of chronological transmission switching (CTS) for in-event disaster mitigation remain underexplored. To address these issues, this paper integrates CTS into the DAD model’s in-event stage and employs probabilistic rather than deterministic criteria for damage scenario modeling. A hypothetical attack decision variable is introduced to reformulate the classical DAD structure, transforming DDU into decision-independent uncertainty (DIU). This modification eliminates the interaction between protection decisions and component failure rates. To effectively solve the model, a nested column-and-constraint generation (N-C&CG) algorithm is proposed. Extensive case studies on the IEEE RTS-79 test system and IEEE 118-bus system validate the effectiveness of the proposed approach. • Robust DAD-CTS model incorporating protection invalidity risk for grid resilience. • Innovative mathematical transformation converting DDU sets to DIU sets in the model. • Exact N-C&CG algorithm solving the reformulated model with binary CTS decisions. • Validation on IEEE RTS-96 and 118-bus systems.

Fields of Study & Subjects

Smart Grid Security and Resilience Infrastructure Resilience and Vulnerability Analysis Optimal Power Flow Distribution

Publication details

Journal / source
International Journal of Electrical Power & Energy Systems
Publisher
Elsevier BV
Volume
174
Pages
111548–111548
Publication date
1 January 2026
Language
EN