Proactive Resilience-Focused Operation of Power System Against Random and Intelligent Attacks

This paper proposes an integrated, resilience-oriented operational framework for power systems to proactively mitigate potential threats targeting transmission infrastructure. The model eliminates the need for sequential line assessments by enabling simultaneous and system-wide evaluation of line vulnerabilities. It jointly minimizes the worst-case load curtailment—stemming from targeted attacks on critical lines—and the expected load loss due to stochastic disruptions across the network. A resilience-informed unit commitment strategy is employed, incorporating spinning reserve allocation to address line criticality and enhance post-contingency service continuity. To ensure computational tractability, the problem is formulated as a mixed-integer linear programming (MILP) model. A multi-objective optimization approach is adopted to balance economic dispatch with resilience enhancement under operational uncertainty. The framework accounts for temporal variations in load demand and renewable generation, capturing their influence on system vulnerability. A multi-period optimization structure is implemented to dynamically allocate reserves across time intervals, thereby improving system adaptability to evolving threat scenarios. The proposed model is validated on the IEEE 39-bus and IEEE 118-bus power systems, demonstrating significant mitigation of both intelligent and random attack impacts.