- Title
- A power flow based model for the analysis of vulnerability in power networks
- Creator
- Wang, Zhuoyang; Chen, Guo; Hill, David J.; Dong, Zhao Yang
- Relation
- Physica A: Statistical Mechanics and its Applications Vol. 460, p. 105-115
- Publisher Link
- http://dx.doi.org/10.1016/j.physa.2016.05.001
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2016
- Description
- 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.
- Subject
- power system; vulnerability analysis; complex network; max-flow; power flow
- Identifier
- http://hdl.handle.net/1959.13/1323949
- Identifier
- uon:24921
- Identifier
- ISSN:0378-4371
- Language
- eng
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