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| 基于CML的电力-信息网络关键节点脆弱性研究 |
| Research on vulnerability of key nodes in power-information network based on CML |
| 投稿时间：2024-04-15 修订日期：2024-05-21 |
| DOI： |
| 中文关键词: 电力-信息网络 关键节点识别 耦合映像格子 级联失效 脆弱性 |
| 英文关键词:power-information network key node identification the coupled image lattice cascading failure vulnerability |
| 基金项目: |
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| 中文摘要: |
| 为研究电力-信息耦合网络在攻击下的脆弱性，通过扰动关键节点进行脆弱性分析。首先基于DC,BC,CC识别网络关键节点，运用CML构建电力-信息耦合网络动力学模型，模拟不同情景下各关键节点失效引发的动态级联过程；采用节点损失比和网络连通熵量化网络面对外部扰动时的脆弱性程度。以IEEE57为例。结果表明:耦合网络更容易发生“二次级联”甚至多次级联，且BC下级联失效最为迅速；随着传播系数和扰动的增加，节点损失比和网络连通熵达到阈值，网络不会表现出更强的脆弱性。 |
| 英文摘要: |
| In order to study the vulnerability of power-information coupling network under attack, this paper analyzes the vulnerability of key nodes. Firstly, the key nodes of the network are identified based on DC, BC and CC, and the power-information dependent network dynamics model is constructed by using the coupled image lattice to simulate the dynamic cascading process caused by the failure of each key node under different scenarios. The node loss ratio and network connectivity entropy are used to quantify the vulnerability of the network to external disturbances. Taking IEEE57 as an example, it is found that the coupling network is more prone to " secondary cascading " or even multiple cascading, and the cascading failure under BC is the most rapid. With the increase of propagation coefficient and disturbance, the node loss ratio and network connectivity entropy reach the threshold, and the network will not show stronger vulnerability. |
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