ArticleNature communications2018
Dynamically induced cascading failures in power grids.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.
What it found
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The trial behind it
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Who cites it
25 citing papers in PubMed.
- Energy performance of MRI systems: on-site validation and comparison with manufacturer declarations.European radiology experimental · 2026Article
- Quantifying cascading power outages during climate extremes considering renewable energy integration.Nature communications · 2025Article
- Hybrid universality classes of systemic cascades.Nature communications · 2025Article
- Collective behavior of higher-order globally coupled oscillatory networks in response to positive and negative couplings.Frontiers in network physiology · 2025Article
- Distribution of centrality measures on undirected random networks via the cavity method.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spectral energy transfer on complex networks: a filtering approach.Scientific reports · 2024Article
- Transformation starts at the periphery of networks where pushback is less.Scientific reports · 2024Article
- Predation and spatial connectivity interact to shape ecosystem resilience to an ongoing regime shift.Nature communications · 2024Article
- DomiRank Centrality reveals structural fragility of complex networks via node dominance.Nature communications · 2024Article
- Recovering Power Grids Using Strategies Based on Network Metrics and Greedy Algorithms.Entropy (Basel, Switzerland) · 2023Article
- On fast simulation of dynamical system with neural vector enhanced numerical solver.Scientific reports · 2023Article
- Fragmentation of outage clusters during the recovery of power distribution grids.Nature communications · 2022Article
- Analysis of Vulnerability on Weighted Power Networks under Line Breakdowns.Entropy (Basel, Switzerland) · 2022Article
- The effect of renewable energy incorporation on power grid stability and resilience.Science advances · 2022Article
- AI Pontryagin or how artificial neural networks learn to control dynamical systems.Nature communications · 2022Article
- Dynamics and resiliency of networks with concurrent cascading failure and self-healing.PloS one · 2022Article
- Permutation Entropy as a Universal Disorder Criterion: How Disorders at Different Scale Levels Are Manifestations of the Same Underlying Principle.Entropy (Basel, Switzerland) · 2021Article
- Revealing drivers and risks for power grid frequency stability with explainable AI.Patterns (New York, N.Y.) · 2021Article
- Network isolators inhibit failure spreading in complex networks.Nature communications · 2021Article
- Asymmetry underlies stability in power grids.Nature communications · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reliable functioning of infrastructure networks is essential for our modern society. Cascading failures are the cause of most large-scale network outages. Although cascading failures often exhibit dynamical transients, the modeling of cascades has so far mainly focused on the analysis of sequences of steady states. In this article, we focus on electrical transmission networks and introduce a framework that takes into account both the event-based nature of cascades and the essentials of the network dynamics. We find that transients of the order of seconds in the flows of a power grid play a crucial role in the emergence of collective behaviors. We finally propose a forecasting method to identify critical lines and components in advance or during operation. Overall, our work highlights the relevance of dynamically induced failures on the synchronization dynamics of national power grids of different European countries and provides methods to predict and model cascading failures.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.