SUMMARYThe power grid defines one of the most important technological networks of our times and has been widely studied as a kind of complex network. It has been developed for more than one century and becomes an extremely huge and seemingly robust system. But it becomes extremely fragile as well because some unexpected minimal failures may lead to sudden and massive blackouts. Many works have been carried out to investigate the structural vulnerability of power grids from the topological point of view based on the complex network theory. This Letter focuses on the structural vulnerability of the power grid under the effect of selective node removal. We propose a new kind of node centrality called overall information centrality (OIC) to guide the node removal attack. We test the effectiveness of our centrality in guiding the node removal based on several IEEE power grids. Simulation results show that, compared with other node centralities such as degree centrality (DC), betweenness centrality (BC) and closeness centrality (CC), our OIC is more effective to guide the node removal and can destroy the power grid in less steps.
In the power communication network, the importance of the power businesses are the key to evaluate the key nodes of the power communication system. As a special network of power system, when determining the importance of power businesses, the different roles of power businesses in power communication system and power system should be considered. Based on analytic hierarchy process (AHP), entropy weight method and weight degradation method, this paper presents a method to identify the key nodes of power communication network. Firstly, the roles of power businesses in power communication network and power system are analyzed, and a multi-level evaluation model is set up. The evaluation indexes are quantified in the form of quantitative assignment, and the importance of power businesses are evaluated based on improved AHP and entropy weight method. Secondly, on the premise of getting the importance of power businesses, combining with the topology of power communication network to improve the weight degradation method to identify the key nodes of power communication system. Finally, the power communication backbone network of Qingdao and Jinan in China are taken as the simulation objects to verify the correctness of the method.
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