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Related Experiment Video

Updated: Mar 31, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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Nonlocal effects and countermeasures in cascading failures.

Dirk Witthaut1,2, Marc Timme3,4

  • 1Forschungszentrum Jülich, Institute for Energy and Climate Research - Systems Analysis and Technology Evaluation (IEK-STE), 52428 Jülich, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2015
PubMed
Summary

Cascading failures in complex supply networks often stay local in small-world networks due to high clustering. Countermeasures against these failures may require nonlocal actions in vulnerable, low-redundancy systems.

Related Experiment Videos

Last Updated: Mar 31, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Published on: February 14, 2025

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Area of Science:

  • Network science
  • Systems engineering
  • Supply chain management

Background:

  • Complex supply networks are susceptible to cascading failures.
  • Failures can propagate nonlocally, far from the initial disruption.
  • Understanding these propagation dynamics is crucial for network resilience.

Purpose of the Study:

  • To investigate the propagation of cascading failures in complex supply networks.
  • To analyze the impact of network topology on failure propagation, focusing on nonlocal effects.
  • To evaluate the effectiveness of countermeasures, specifically edge removal, considering spatial aspects.

Main Methods:

  • Network analysis of complex supply networks.
  • Modeling of cascading failure propagation.
  • Simulation of countermeasures involving edge removal.

Main Results:

  • High clustering and small average path length in networks suppress nonlocal overloads.
  • Small-world network properties, common in real-world systems, promote local cascade propagation.
  • Nonlocal countermeasures are necessary for vulnerable networks with low redundancy.

Conclusions:

  • Network topology significantly influences the spatial extent of cascading failures.
  • Small-world characteristics inherent in many supply chains limit the reach of failures.
  • Targeted, potentially nonlocal, interventions are key to mitigating risks in low-redundancy supply networks.