Literature DB >> 29146778

Small vulnerable sets determine large network cascades in power grids.

Yang Yang1, Takashi Nishikawa2,3, Adilson E Motter1,3.   

Abstract

The understanding of cascading failures in complex systems has been hindered by the lack of realistic large-scale modeling and analysis that can account for variable system conditions. Using the North American power grid, we identified, quantified, and analyzed the set of network components that are vulnerable to cascading failures under any out of multiple conditions. We show that the vulnerable set consists of a small but topologically central portion of the network and that large cascades are disproportionately more likely to be triggered by initial failures close to this set. These results elucidate aspects of the origins and causes of cascading failures relevant for grid design and operation and demonstrate vulnerability analysis methods that are applicable to a wider class of cascade-prone networks.
Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2017        PMID: 29146778     DOI: 10.1126/science.aan3184

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  17 in total

1.  General methodology for inferring failure-spreading dynamics in networks.

Authors:  Xiangyang Guan; Cynthia Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-15       Impact factor: 11.205

2.  Functional observability and target state estimation in large-scale networks.

Authors:  Arthur N Montanari; Chao Duan; Luis A Aguirre; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-04       Impact factor: 11.205

3.  Network isolators inhibit failure spreading in complex networks.

Authors:  Franz Kaiser; Vito Latora; Dirk Witthaut
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

4.  Dynamic Network Characteristics of Power-electronics-based Power Systems.

Authors:  Yuxi Ji; Wei He; Shijie Cheng; Jürgen Kurths; Meng Zhan
Journal:  Sci Rep       Date:  2020-06-19       Impact factor: 4.379

5.  Crash dynamics of interdependent networks.

Authors:  Jie Li; Chengyi Xia; Gaoxi Xiao; Yamir Moreno
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

6.  Dynamically induced cascading failures in power grids.

Authors:  Benjamin Schäfer; Dirk Witthaut; Marc Timme; Vito Latora
Journal:  Nat Commun       Date:  2018-05-17       Impact factor: 14.919

7.  Propagation of Disturbances in AC Electricity Grids.

Authors:  Samyak Tamrakar; Michael Conrath; Stefan Kettemann
Journal:  Sci Rep       Date:  2018-04-24       Impact factor: 4.379

8.  Resistance and robustness of the global coral-symbiont network.

Authors:  Sara D Williams; Mark R Patterson
Journal:  Ecology       Date:  2020-02-14       Impact factor: 5.499

9.  In-depth data on the network structure and hourly activity of the Central Chilean power grid.

Authors:  Heetae Kim; David Olave-Rojas; Eduardo Álvarez-Miranda; Seung-Woo Son
Journal:  Sci Data       Date:  2018-10-23       Impact factor: 6.444

10.  Critical Stretching of Mean-Field Regimes in Spatial Networks.

Authors:  Ivan Bonamassa; Bnaya Gross; Michael M Danziger; Shlomo Havlin
Journal:  Phys Rev Lett       Date:  2019-08-23       Impact factor: 9.161

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.