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A power flow based model for the analysis of vulnerability in power networks

Zhuoyang Wang, Guo Chen, David J. Hill and Zhao Yang Dong

Physica A: Statistical Mechanics and its Applications, 2016, vol. 460, issue C, 105-115

Abstract: An innovative model which considers power flow, one of the most important characteristics in a power system, is proposed for the analysis of power grid vulnerability. Moreover, based on the complex network theory and the Max-Flow theorem, a new vulnerability index is presented to identify the vulnerable lines in a power grid. In addition, comparative simulations between the power flow based model and existing models are investigated on the IEEE 118-bus system. The simulation results demonstrate that the proposed model and the index are more effective in power grid vulnerability analysis.

Keywords: Power system; Vulnerability analysis; Complex network; Max-Flow; Power flow (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:460:y:2016:i:c:p:105-115

DOI: 10.1016/j.physa.2016.05.001

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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