中文摘要：

主要研究目的是在复杂网络发生相继故障的过程中,设计一种合理有效的复杂网络相继故障的负荷再分配策略,有效减小网络临界阈值βm,提高网络鲁棒性。通过对比研究和仿真建模的方法,提出了基于节点最大剩余容量的负荷再分配策略：当网络中节点发生故障时,故障节点的负荷分配给当前时刻网络内剩余容量最大的部分节点,这部分节点的个数与故障节点的度在数值上相等,并且这部分节点所能分得的负荷与其自身的剩余容量有关,剩余容量越大的节点相对而言所能分得的负荷越多。选取人工网络和实际网络进行仿真对比研究,结果表明,所提出的负荷再分配策略能够有效地减小临界阈值βm,说明该策略是合理有效的,能够提高网络鲁棒性。

英文摘要：

In order to improve the network robustness in the process of cascading failure, a reasonable and effective load redistribution strategy of the cascading failure nodes in the network is designed, so that the critical threshold βm can be decreased. Through comparative study and simulation modeling method, a load redistribution strategy based on the maximum remaining capacity of the node is put for-ward. The load of a failure node will be distributed to the nodes that have the maximum remaining capacity in the network, and the number of these nodes is the degree of the fault node, and the extra load which these nodes share depends on their remaining capacity. Through the simulation between the artificial network and actual network, the results show that the proposed strategy of the load redistribution can effectively decrease the critical thresholdf βm,so as to show the effectiveness of the strategy and improve the robustness of the network.