Vulnerability Assessment of Important Infrastructure of Power Grid to Natural Disasters Based on Deep Learning

Author:

Fan Weinan1,Xu Zhong1,Liu Junxiang1,Wang Yong1,Mo Wenxiong1

Affiliation:

1. Guangdong Power Grid Guangzhou Power Supply Bureau,Guangzhou,China,510000

Publisher

IEEE

Reference7 articles.

1. Distribution network structure evolution model and its scale characteristics analysis based on allometry simulation [J];Qingchun;Electrical Automation,2021

2. Collaborative Method for Active Distribution Network Reconstruction and Component Repair for Elastic Enhancement [J];Hanmei;Power System Protection and Control,2022

3. Research on knowledge map construction and real-time auxiliary decision-making of power grid fault handling based on transfer learning [J];Rui;Power Information and Communication Technology,2022

4. Challenges and Prospects for New Power System Network Security Protection [J];Jieying;Power System Automation,2023

5. A Distributed Electricity Trading Blockchain Model Considering Reputation Value and Electrical Distance [J];Zhenwei;Power Construction,2023

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scenario construction and vulnerability mitigation of natural hazards-triggered power grid incidents;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

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