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Mitigation strategies for weakest bus vulnerabilities in power grids

Bo Wu, Xiuli Wang and Zitong Zhao

Reliability Engineering and System Safety, 2026, vol. 265, issue PB

Abstract: Ensuring the resilience of power grids against potential terrorist attacks is a critical challenge for modern energy systems. This study proposes an innovative three-stage evaluation method to identify the weakest bus in a power grid, considering the total number of affected line disconnections, the total impacted load, and the geographical extent of disruption. Experimental validation using an improved IEEE 30-bus system demonstrates the method’s effectiveness in accurately pinpointing the most vulnerable bus. Based on this assessment, a five-objective optimization framework is developed, incorporating three strategic planning measures: backup power supply deployment, preset transmission line reinforcement, and double-circuit line construction. To efficiently solve this complex sparse multi-objective mixed-integer programming problem with 490 decision variables, we introduce a novel evolutionary algorithm, PSL-SCEA. By leveraging a population of 50 individuals over 1,000,000 evolutionary evaluations, the proposed method successfully generates 15 Pareto-optimal solutions. The results demonstrate a well-balanced trade-off between economic feasibility and grid robustness, providing a strategic foundation for enhancing power grid resilience against potential disruptions. This study also investigates the scalability of the proposed method by applying it to the larger-scale IEEE 57-bus system, resulting in a set of 37 Pareto-optimal solutions.

Keywords: Terrorist grid attack mitigation; Integrated multi-objective optimization; Weakest bus evaluation; Sparsity-aware Pareto solutions; Stability and economy (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:265:y:2026:i:pb:s0951832025008221

DOI: 10.1016/j.ress.2025.111622

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