Comparisons of complex network based models and direct current power flow model to analyze power grid vulnerability under intentional attacks

Min Ouyang, Lijing Zhao, Zhezhe Pan and Liu Hong

Physica A: Statistical Mechanics and its Applications, 2014, vol. 403, issue C, 45-53

Abstract: Many scholars have applied complex network based models to investigate power grid vulnerability, but how effective are these models to capture the real performance is an interesting topic. This paper selects two typical complex network based models, including a purely topological model (PTM) and a betweenness based model (BBM), as well as a direct current power flow model (DCPFM), to simulate the topology-based and flow-based vulnerability of power grid under degree, betweenness, maximum traffic and importance based intentional attacks. The relationships of vulnerability results from different models are analyzed and discussed for model comparisons. Taking IEEE 300 power grid with line capacity set proportional to tolerant parameter tp as example, the results show that there exists a critical node attack intensity AI=0.147, above which the three models produce almost identical topology-based vulnerability results under each attack strategy at any tp⩾1, while producing identical flow-based vulnerability results from PTM and DCPFM occurs at AI>0.147, and AI>0.73 for BBM and DCPFM, which indicates that the PTM can better approach the DCPFM for flow-based vulnerability analysis under intentional attacks. Similar results are also found for intentional edge attacks and other power grids.

Keywords: Power grid; Complex network models; Direct current flow; Vulnerability; Intentional attack (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:403:y:2014:i:c:p:45-53

DOI: 10.1016/j.physa.2014.01.070

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