Open AccessVulnerable transmission line identification considering depth of K ‐shell decomposition in complex grids
Author(s) -
Fan WenLi,
Zhang XueMin,
Mei ShengWei,
Huang ShaoWei
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0767
Subject(s) - electric power transmission , transmission line , power transmission , grid , transmission (telecommunications) , fault (geology) , electric power system , computer science , identification (biology) , maximum power transfer theorem , power (physics) , power grid , line (geometry) , decomposition method (queueing theory) , electronic engineering , topology (electrical circuits) , engineering , electrical engineering , telecommunications , mathematics , physics , statistics , geometry , botany , biology , quantum mechanics , seismology , geology
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.