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Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures
Based on coupled networks, taking node load, capacity and load redistribution between two networks into consideration, we propose functionally identical coupled networks, which consist of two networks connected by interlinks. Functionally identical coupled networks are derived from the power grid of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975477/ https://www.ncbi.nlm.nih.gov/pubmed/27494715 http://dx.doi.org/10.1371/journal.pone.0160545 |
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author | Wang, Xingyuan Cao, Jianye Qin, Xiaomeng |
author_facet | Wang, Xingyuan Cao, Jianye Qin, Xiaomeng |
author_sort | Wang, Xingyuan |
collection | PubMed |
description | Based on coupled networks, taking node load, capacity and load redistribution between two networks into consideration, we propose functionally identical coupled networks, which consist of two networks connected by interlinks. Functionally identical coupled networks are derived from the power grid of the United States, which consists of many independent grids. Many power transmission lines are planned to interconnect those grids and, therefore, the study of the robustness of functionally identical coupled networks becomes important. In this paper, we find that functionally identical coupled networks are more robust than single networks under random attack. By studying the effect of the broadness and average degree of the degree distribution on the robustness of the network, we find that a broader degree distribution and a higher average degree increase the robustness of functionally identical coupled networks under random failure. And SF-SF (two coupled scale-free networks) is more robust than ER-ER (two coupled random networks) or SF-ER (coupled random network and scale-free network). This research is useful to construct robust functionally identical coupled networks such as two cooperative power grids. |
format | Online Article Text |
id | pubmed-4975477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49754772016-08-25 Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures Wang, Xingyuan Cao, Jianye Qin, Xiaomeng PLoS One Research Article Based on coupled networks, taking node load, capacity and load redistribution between two networks into consideration, we propose functionally identical coupled networks, which consist of two networks connected by interlinks. Functionally identical coupled networks are derived from the power grid of the United States, which consists of many independent grids. Many power transmission lines are planned to interconnect those grids and, therefore, the study of the robustness of functionally identical coupled networks becomes important. In this paper, we find that functionally identical coupled networks are more robust than single networks under random attack. By studying the effect of the broadness and average degree of the degree distribution on the robustness of the network, we find that a broader degree distribution and a higher average degree increase the robustness of functionally identical coupled networks under random failure. And SF-SF (two coupled scale-free networks) is more robust than ER-ER (two coupled random networks) or SF-ER (coupled random network and scale-free network). This research is useful to construct robust functionally identical coupled networks such as two cooperative power grids. Public Library of Science 2016-08-05 /pmc/articles/PMC4975477/ /pubmed/27494715 http://dx.doi.org/10.1371/journal.pone.0160545 Text en © 2016 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Xingyuan Cao, Jianye Qin, Xiaomeng Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title | Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title_full | Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title_fullStr | Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title_full_unstemmed | Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title_short | Study of Robustness in Functionally Identical Coupled Networks against Cascading Failures |
title_sort | study of robustness in functionally identical coupled networks against cascading failures |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975477/ https://www.ncbi.nlm.nih.gov/pubmed/27494715 http://dx.doi.org/10.1371/journal.pone.0160545 |
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