EconPapers    
Economics at your fingertips  
 

Dynamically induced cascading failures in power grids

Benjamin Schäfer (), Dirk Witthaut, Marc Timme () and Vito Latora ()
Additional contact information
Benjamin Schäfer: Technical University of Dresden
Dirk Witthaut: Institute for Energy and Climate Research - Systems Analysis and Technology Evaluation (IEK-STE)
Marc Timme: Technical University of Dresden
Vito Latora: Queen Mary University of London

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (31)

Downloads: (external link)
https://www.nature.com/articles/s41467-018-04287-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04287-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-04287-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04287-5