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Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

机译:基于复杂网络可控性的电力系统关键节点识别

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This paper proposes a new method for assessing the vulnerability of power systems based on the controllability theories of complex networks. A novel controllability index is established, taking into consideration the full controllability of the power systems, for identifying critical nodes. The network controllability model is used to calculate the minimum number of driver nodes (ND), which can solve the computable problems of the controllability of power systems. The proposed approach firstly applies the network controllability theories to research the power systems' vulnerability, which can not only effectively reveal the important nodes but also maintain full control of the power systems. Meanwhile, the method can also overcome the limitation of the hypothesis that the weight of each link or transmission line must be known compared with the existing literature. In addition, the power system is considered as a directed network and the power system model is also redefined. The proposed methodology is then used to identify critical nodes of the IEEE 118 and 300 bus system. The results show that the failure of the critical nodes can clearly increase ND and lead a significant driver node shift. Thus, the rationality and validity are verified.
机译:本文提出了一种基于复杂网络可控性理论的电力系统脆弱性评估新方法。考虑到电力系统的完全可控性,建立了一种新颖的可控性指标,以识别关键节点。网络可控性模型用于计算驱动节点的最小数量(N D ),可以解决电力系统可控性的可计算问题。该方法首先应用网络可控性理论研究电力系统的脆弱性,不仅可以有效地揭示重要节点,而且可以保持对电力系统的完全控制。同时,该方法还可以克服以下假设的局限性:与现有文献相比,必须知道每个链路或传输线的权重。另外,电力系统被视为有向网络,并且电力系统模型也被重新定义。然后,所提出的方法用于识别IEEE 118和300总线系统的关键节点。结果表明,关键节点的故障可以明显增加N D 并导致显着的驱动程序节点偏移。因此,验证了合理性和有效性。

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