Controllability robustness against cascading failure for complex logistic network based on dynamic cascading failure model

• Main Authors: Wang, Shaohua, Yang, Yue, Sun, Liyue, Li, Xiaoni, Li, Yongxing, Guo, Konghui
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Civil engineering; Complex Logistics Network; Cascading Failure
• Online Access: https://hdl.handle.net/10356/145622
• Institution: Nanyang Technological University

Inspired by the empirical dynamic characteristics of the load of real logistics network, we propose a dynamic cascading failure model against cascading failure, which is more suitable for complex logistics network by adding dynamic factors based on the nonlinear load-capacity model under initial residual capacity load-redistribution strategy. The simulation is executed on the complex logistics network model and the results show that the controllability robustness and economy after cascading failure based on the dynamic cascading failure model is feasible and effective. It can effectively reduce the logistics cost and enhance controllability robustness against cascading failure by adjusting the network cost e and capacity parameter γ, so as to balance the controllability robustness and economy for the complex logistics network.