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Modeling and impact analysis of interdependent characteristics on cascading failures in smart grids

机译:相互依赖的特性对智能电网连锁故障的建模与影响分析

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Smart grids are increasingly interactive with communication networks and have even become interdependent networks. The majority of previous research has assumed that a minor failure might evolve into cascading failures through interactive interdependency. However, in the interdependent power grids and communication networks, the point-to-point interdependency is embedded based on certain topological characteristics rather than at random. This paper aims to analyze the impacts of different interdependencies and structure characteristics of communication networks on cascading failures in power grids. An interactive cascading model for power grids and coupled communications systems is proposed based on the redistribution of DC power flow and the routing of the open shortest path first (OSPF) strategy with consideration of the abnormal transmission, and the interdependency is analyzed numerically. Quantification of the different types of interdependencies illustrates that greater interdependency leads to a lower probability of a large blackout. Furthermore, a threshold value for the transmission inefficiency of communication networks is shown in the cascading process. The most of the power system can be functional when the transmission inefficiency is under the threshold value. Comparison of the threshold values in the double-star and the mesh communication networks illustrates that the heterogeneous characteristics of the double-star structure provide better control to mitigate cascading failures. (C) 2017 Elsevier Ltd. All rights reserved,
机译:智能电网与通信网络的互动越来越多,甚至已经成为相互依赖的网络。先前的大多数研究都假设,较小的故障可能会通过交互的相互依赖关系演变为级联故障。但是,在相互依存的电网和通信网络中,基于某些拓扑特征而不是随机地嵌入了点对点的相互依存关系。本文旨在分析通信网络的不同相互依赖性和结构特征对电网级联故障的影响。基于直流潮流的重新分配和开放式最短路径优先(OSPF)策略的路由,并考虑了异常传输,提出了一种用于电网和耦合通信系统的交互式级联模型,并对其相互依赖性进行了数值分析。对不同类型的相互依存关系进行量化说明,更大的相互依存关系导致较低的大停电概率。此外,在级联过程中示出了通信网络的传输效率低的阈值。当传输效率低于阈值时,大多数电力系统可以正常运行。双星和网状通信网络中阈值的比较表明,双星结构的异构特性可提供更好的控制来减轻级联故障。 (C)2017 Elsevier Ltd.保留所有权利,

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