Cascades in interdependent flow networks
Copyright policy )Cascades in interdependent flow networks
We investigate the abrupt breakdown behavior of coupled distribution grids under load growth. This scenario mimics the ever-increasing customer demand and the foreseen introduction of energy hubs interconnecting the different energy vectors. We extend an analytical model of cascading behavior due to line overloads to the case of interdependent networks and find evidence of first order transitions due to the long-range nature of the flows. Our results indicate that the foreseen increase in the couplings between the grids has two competing effects: on the one hand, it increases the safety region where grids can operate without withstanding systemic failures; on the other hand, it increases the possibility of a joint systems' failure.
submitted to Physica D
Physics - Physics and Society, FOS: Physical sciences, interdependencies, Complex networks; Interdependencies; Mean field models, complex networks, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, QC Physics, mean field models, Deterministic network models in operations research, FOS: Electrical engineering, electronic engineering, information engineering
Physics - Physics and Society, FOS: Physical sciences, interdependencies, Complex networks; Interdependencies; Mean field models, complex networks, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, QC Physics, mean field models, Deterministic network models in operations research, FOS: Electrical engineering, electronic engineering, information engineering
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!