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Cascading Failure Analysis Considering Interaction Between Power Grids and Communication Networks

机译:考虑电网与通信网络相互作用的级联故障分析

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This paper aims to model interdependencies between power systems and dispatching data networks, and to analyze the intricate impacts on cascading failures. The functions of communication networks are embedded into dispatching data networks in China, thus we use dispatching data networks in the paper. The structures of dispatching data networks are generally categorized into two types: 1) double-star; and 2) mesh. The correlation of nodes in double-star networks and power systems is “degree to degree,” whereas “degree to betweenness” is the correlation for mesh networks. Furthermore, the interactive model between power grids and dispatching data networks is presented by a dynamic power flow model. Taking the IEEE 39-bus system and China’s Guangdong 500-kV system as examples, in the case of random attacks on the interdependent system, simulation results show that the power grid coupled with double-star dispatching data networks has lower probability of catastrophic failures than with the mesh structure, because the double-star dispatching data network has outstanding capability of delivering information even though some communication nodes are out of order. In contrast, under intentional attacks, the decrement of the transmission performance of the double-star network is more serious than that in the mesh network. Therefore, the power system exhibits much higher vulnerability when coupled with the double-star network.
机译:本文旨在对电力系统与调度数据网络之间的相互依赖性进行建模,并分析其对级联故障的复杂影响。通信网络的功能已经被嵌入到中国的调度数据网络中,因此我们在本文中使用调度数据网络。调度数据网络的结构通常分为两种:1)双星型; 2)双星型。和2)网格。双星网络和电力系统中节点的相关性是“度对度”,而“中间度”是网状网络的相关性。此外,通过动态潮流模型给出了电网与调度数据网络之间的交互模型。以IEEE 39总线系统和中国广东500 kV系统为例,在相互依赖的系统受到随机攻击的情况下,仿真结果表明,与双星调度数据网络相结合的电网发生灾难性故障的几率低于采用网状结构,因为即使某些通信节点出现故障,双星调度数据网络也具有出色的信息传递能力。相反,在故意攻击下,双星网络的传输性能下降比网状网络中的传输性能下降更为严重。因此,与双星网络结合使用时,电源系统显示出更高的脆弱性。

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