Vulnerable transmission line identification considering depth of K-shell decomposition in complex grids

Vulnerable transmission lines are weaknesses in the power system security, which are easy to induce cascading failures and blackouts. To identify the vulnerable transmission lines with the increasing complexity of the interconnected power grid, the authors propose a vulnerable transmission line iden...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2018-03, Vol.12 (5), p.1137-1144
Main Authors: Fan, Wen-Li, Zhang, Xue-Min, Mei, Sheng-Wei, Huang, Shao-Wei
Format: Article
Language:English
Subjects:
blackouts
cascading failures
complex grids
correlation matrix
correlation network
DKsPS method
failure analysis
IEEE‐39 bus system
interconnected power grid
K‐shell decomposition
matrix algebra
Northeast China power grid
numerical simulations
power grid fault
power grids
power system interconnection
power system security
power transfer capability
power transmission capability
power transmission faults
power transmission lines
Research Article
vulnerable transmission line identification method
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Summary:Vulnerable transmission lines are weaknesses in the power system security, which are easy to induce cascading failures and blackouts. To identify the vulnerable transmission lines with the increasing complexity of the interconnected power grid, the authors propose a vulnerable transmission line identification method using the depth of the K-shell (Ks) decomposition under power transfer (named the DKsPS method), which fully considers the dynamic characteristics of the power transfer and transmission capability after the power grid fault. This method establishes a correlation network based on the correlation matrix of transmission lines under the N − 1 check and then identifies the vulnerable transmission lines by using the modified Ks decomposition. Numerical simulations on both the IEEE-39 bus system and the Northeast China power grid verify the validity and accuracy of the DKsPS method.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2017.0767