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作 者:李淑庆[1] 宋易宵 钟国剑 Li Shuqing;Song Yixiao;Zhong Guojian(School of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China)
出 处:《系统仿真学报》2024年第9期2127-2136,共10页Journal of System Simulation
基 金:国家自然科学基金(52078070);重庆交通大学研究生科研创新项目(CYS21355)。
摘 要:为解决城市轨道交通站点或线路失效引发的网络级联瘫痪问题,考虑了网络节点一阶邻域的影响作用,基于非线性容量负载模型,提出了负载分配阻抗系数,并建立了考虑近邻度值之和的非线性容量负载优化模型,通过优化负载结构来调整节点在负载重分配时的备择概率,减少级联过程中节点的失效数,提高网络抗毁性。以重庆市轨道网络为实例应用,仿真分析网络在两种模型下的抗毁性。结果表明:优化模型中负载容忍系数的增大对网络抗毁性的改善效果更显著;优化模型中节点的负载分配阻抗系数越大,节点在负载重分配时的备择概率越低,越不容易发生级联过载。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.
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