Cascading Failure: Addressing Long-Range Correlation in Power Grids

Prior research has explored cascading failure through frameworks like the blackout model, branching processes, complex networks, machine learning, and other methodologies [2]. Its relevance has also been observed in scenarios like cyber-attacks [3] and resilience analysis [4]. However, cascading failure exhibits a notable characteristic: long-range correlation. This signifies that sequential faults can occur at considerable distances, as evidenced by the 1996 blackout in the Western United States [5]. Certain studies have neglected this propagation feature, hindering their ability to fully grasp the relationship between sub-faults in cascading failure.