Journal of System Simulation
Abstract
Abstract: In order to solve the problem of network cascade paralysis caused by urban rail station or line failure, considering the influence of the first-order neighborhood of network nodes, the load distribution impedance coefficient is proposed based on the nonlinear capacity load model, and a nonlinear capacity load optimization model considering the sum of the neighbors degree is constructed. By optimizing load structure, the alternative probability of nodes during load redistribution is adjusted to reduce the number of node failures in the cascading process, thereby the rail network invulnerability is improved. Taking Chongqing rail network as an example, the rail network invulnerability under the two models was analyzed by simulation. The results show that the increase of load tolerance coefficient in the optimization model has a more significant effect on the improvement of network invulnerability. The larger the load distribution impedance coefficient of nodes in the optimization model, the lower the backup probability during load redistribution，the less likely to experience cascading overload.
Recommended Citation
Li, Shuqing; Song, Yixiao; and Zhong, Guojian
(2024)
"Study on Invulnerability of Urban Rail Network Considering Sum of the Neighbors Degree,"
Journal of System Simulation: Vol. 36:
Iss.
9, Article 13.
DOI: 10.16182/j.issn1004731x.joss.23-0612
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss9/13
First Page
2127
Last Page
2136
CLC
TP391.9; U491
Recommended Citation
Li Shuqing, Song Yixiao, Zhong Guojian. Study on Invulnerability of Urban Rail Network Considering Sum of the Neighbors Degree[J]. Journal of System Simulation, 2024, 36(9): 2127-2136.
DOI
10.16182/j.issn1004731x.joss.23-0612
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