Power grid disaster defense strategy based on fusion flow model

In recent years, the increasing frequency and intensity of extreme natural disasters have posed significant threats to the secure and stable operation of power systems. To address the defense of power grids against such disasters, this paper constructs a physical fusion flow model for power system information based on the general fusion flow framework. We further formulate mathematical models for characterizing the impact scope of extreme disasters and simulating grid disaster scenarios. Leveraging these models, we systematically analyze the mechanisms of disaster propagation within power grids, explicitly considering the physical interactions of grid information. Building upon this foundation, we propose a disaster prevention strategy. This strategy optimizes the allocation of limited defense resources by quantifying disaster impacts on grid components and integrating grid topological characteristics with component importance indices. The approach prioritizes the protection of critical load nodes and vital information-coupling connections, thereby suppressing disaster propagation and mitigating load losses. The proposed strategy is validated through simulations on the IEEE 118-bus test system. Results demonstrate its significant defensive efficacy across various disaster scenarios, effectively enhancing grid resilience and disaster response capability.