Power-functional network
文献类型：期刊论文
| 作者 | Sun, Yong1,2; Zhan, Meng3; Kurths, Juergen4,5,6 |
| 刊名 | CHAOS
 |
| 出版日期 | 2017-08-01 |
| 卷号 | 27期号:8 |
| DOI | 10.1063/1.4995361 |
| 文献子类 | Article |
| 英文摘要 | Power grids and their properties have been studied broadly in many aspects. In this paper, we propose a novel concept, power-flow-based power grid, as a typical power-functional network, based on the calculation of power flow distribution from power electrical engineering. We compare it with structural networks based on the shortest path length and effective networks based on the effective electrical distance and study the relationship among these three kinds of networks. We find that they have roughly positive correlations with each other, indicating that in general any close nodes in the topological structure are actually connected in function. However, we do observe some counter-examples that two close nodes in a structural network can have a long distance in a power-functional network, namely, two physically connected nodes can actually be separated in function. In addition, we find that power grids in the structural network tend to be heterogeneous, whereas those in the effective and power-functional networks tend to be homogeneous. These findings are expected to be significant not only for power grids but also for various other complex networks. Published by AIP Publishing. |
| WOS关键词 | COMPLEX NETWORKS ; VULNERABILITY ANALYSIS ; SYNCHRONIZATION ; SYSTEMS ; MODEL ; FLOW |
| WOS研究方向 | Mathematics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000409112600020 |
| 资助机构 | National Nature Science Foundation of China(11475253) ; National Nature Science Foundation of China(11475253) ; National Nature Science Foundation of China(11475253) ; National Nature Science Foundation of China(11475253) |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/11361]  |
| 专题 | 武汉物理与数学研究所_数学物理与应用研究部 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Hubei, Peoples R China 4.Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen, Scotland 5.Humboldt Univ, Dept Phys, Berlin, Germany 6.Potsdam Inst Climate Impact Res PIK, Potsdam, Germany |
| 推荐引用方式 GB/T 7714 | Sun, Yong,Zhan, Meng,Kurths, Juergen. Power-functional network[J]. CHAOS,2017,27(8). |
| APA | Sun, Yong,Zhan, Meng,&Kurths, Juergen.(2017).Power-functional network.CHAOS,27(8). |
| MLA | Sun, Yong,et al."Power-functional network".CHAOS 27.8(2017). |
入库方式： OAI收割
来源：武汉物理与数学研究所
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