{"title":"A backup algorithm for power communication network based on fault cascade in the network virtualization environment","authors":"Xia Zhen, Lanlan Rui, Xue-song Qiu, Biyao Li, Peng Yu","doi":"10.1109/NOMS.2018.8406198","DOIUrl":null,"url":null,"abstract":"This paper studies the multi-layer structure of coupled power network based on the problem of fault cascade and unreasonable network design in the network virtualization environment (NV). Based on the complex network theory, we propose a network optimization algorithm: PNGA (Primary Nodes Group Algorithm). The objective of PNGA is promoting the robustness of the entire network. In the simulation experiment, this paper analyzes the network modeling and topological characteristics of a three-tier power grid in NV. We use the degree sorting algorithm as the control group which is widely used in power grid. Under different attack strategies, we investigate the performance of different algorithms and the state of fault generation. The results of the simulation we performed in this paper have shown that PNGA is superior to the rest of the algorithm in suppressing faults.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"33 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOMS.2018.8406198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper studies the multi-layer structure of coupled power network based on the problem of fault cascade and unreasonable network design in the network virtualization environment (NV). Based on the complex network theory, we propose a network optimization algorithm: PNGA (Primary Nodes Group Algorithm). The objective of PNGA is promoting the robustness of the entire network. In the simulation experiment, this paper analyzes the network modeling and topological characteristics of a three-tier power grid in NV. We use the degree sorting algorithm as the control group which is widely used in power grid. Under different attack strategies, we investigate the performance of different algorithms and the state of fault generation. The results of the simulation we performed in this paper have shown that PNGA is superior to the rest of the algorithm in suppressing faults.
针对网络虚拟化环境下的故障级联和网络设计不合理问题,研究了耦合电网的多层结构。基于复杂网络理论,提出了一种网络优化算法:PNGA (Primary Nodes Group algorithm)。PNGA的目标是提高整个网络的鲁棒性。在仿真实验中,本文分析了NV三层电网的网络建模和拓扑特征,并采用电网中广泛使用的度排序算法作为对照组。在不同的攻击策略下,研究了不同算法的性能和故障生成状态。本文的仿真结果表明,PNGA在抑制故障方面优于其他算法。