This title appears in the Scientific Report :
2016
Please use the identifier:
http://hdl.handle.net/2128/12282 in citations.
Please use the identifier: http://dx.doi.org/10.1103/PhysRevLett.116.138701 in citations.
Critical Links and Nonlocal Rerouting in Complex Supply Networks
Critical Links and Nonlocal Rerouting in Complex Supply Networks
Link failures repeatedly induce large-scale outages in power grids and other supply networks. Yet, it is still not well understood which links are particularly prone to inducing such outages. Here we analyze how the nature and location of each link impact the network’s capability to maintain a stabl...
Saved in:
Personal Name(s): | Witthaut, Dirk (Corresponding author) |
---|---|
Rohden, Martin / Zhang, Xiaozhu / Hallerberg, Sarah / Timme, Marc | |
Contributing Institute: |
Systemforschung und Technologische Entwicklung; IEK-STE |
Published in: | Physical review letters, 116 (2016) 13, S. 138701 |
Imprint: |
College Park, Md.
APS
2016
|
PubMed ID: |
27082006 |
DOI: |
10.1103/PhysRevLett.116.138701 |
Document Type: |
Journal Article |
Research Program: |
Kollektive Nichtlineare Dynamik Komplexer Stromnetze Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1103/PhysRevLett.116.138701 in citations.
Link failures repeatedly induce large-scale outages in power grids and other supply networks. Yet, it is still not well understood which links are particularly prone to inducing such outages. Here we analyze how the nature and location of each link impact the network’s capability to maintain a stable supply. We propose two criteria to identify critical links on the basis of the topology and the load distribution of the network prior to link failure. They are determined via a link’s redundant capacity and a renormalized linear response theory we derive. These criteria outperform the critical link prediction based on local measures such as loads. The results not only further our understanding of the physics of supply networks in general. As both criteria are available before any outage from the state of normal operation, they may also help real-time monitoring of grid operation, employing countermeasures and support network planning and design. |