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The smooth operation of supply networks is crucial for the proper functioning of many systems, ranging from biological organisms such as the human blood transport system or plant leaves to man-made systems such as power grids or gas pipelines. Whereas the failure of single transmission elements has been analysed thoroughly for power grids, the understanding of multiple failures is becoming more and more important to prevent large scale outages with an increasing penetration of renewable energy sources. In this publication, we examine the collective nature of the simultaneous failure of several transmission elements. In particular, we focus on the difference between single transmission element failures and the collective failure of several elements. We demonstrate that already for two concurrent failures, the simultaneous outage can lead to an inversion of the direction of flow as compared to the two individual failures and find situations where additional outages may be beneficial for the overall system. In addition to that, we introduce a quantifier that performs very well in predicting if two outages act strongly collectively or may be treated as individual failures mathematically. Finally, we extend on recent progress made on the understanding of single link failures demonstrating that multiple link failures may be treated as superpositions of multiple electrical dipoles for lattice-like networks with collective effects completely vanishing in the continuum limit. Our results demonstrate that the simultaneous failure of multiple lines may lead to unexpected effects that cannot be easily described using the theoretical framework for single link failures.
The failure of a single link can degrade the operation of a supply network up to the point of complete collapse. Yet, the interplay between network topology and locality of the response to such damage is poorly understood. Here, we study how topology
Cascading failure is a potentially devastating process that spreads on real-world complex networks and can impact the integrity of wide-ranging infrastructures, natural systems, and societal cohesiveness. One of the essential features that create com
Cascading failures constitute an important vulnerability of interconnected systems. Here we focus on the study of such failures on networks in which the connectivity of nodes is constrained by geographical distance. Specifically, we use random geomet
We investigate the effect of a specific edge weighting scheme $sim (k_i k_j)^{beta}$ on distributed flow efficiency and robustness to cascading failures in scale-free networks. In particular, we analyze a simple, yet fundamental distributed flow mode
The structure of real-world multilayer infrastructure systems usually exhibits anisotropy due to constraints of the embedding space. For example, geographical features like mountains, rivers and shores influence the architecture of critical infrastru