Preferential redistribution in cascading failure by considering local real-time information

Abstract Cascading failures in real systems are common phenomena. Considering the risk awareness during cascade failure and the lack of information of initial loads, a cascading failure model based on local real-time information is proposed in this paper, where the load-redistribution is based on node’s degree. The impact of the load-redistribution strategy on network robustness is analyzed. Our analysis indicates that when the initial load-distribution and the load-redistribution strategy based on the degree in our paper are the same, the network shows better robustness against node failure. What makes more sense is that, without knowing the initial load-distribution, keeping the transfer rate of load-redistribution linearly proportional to the node’s degree is an effective way to improve the network robustness.