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Edge Resilient Control for Feeder Automation System Under Hybrid Attacks: A Hybrid Physical Model-Driven and Data-Driven Approach

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成果类型:
期刊论文
作者:
Zeng, Rong;Li, Yong;Hu, Sijia;Shao, Xia;Xu, Yong;...
通讯作者:
Li, Y
作者机构:
[Hu, Sijia; Shao, Xia; Li, Yong; Zeng, Rong] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China.
[Xu, Yong] State Grid Hunan Elect Power Co Ltd, Technol Res & Dev Ctr, Changsha 410000, Peoples R China.
[Yang, Xusheng] State Grid Hunan Integrated Energy Serv Grp Co Ltd, Planning Management Expert Grp, Changsha 410000, Peoples R China.
[Cao, Yijia] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
通讯机构:
[Li, Y ] H
Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Computer crime;Protection;Image edge detection;Resilience;Prevention and mitigation;Automation;Location awareness;Machine learning;Circuit faults;Power distribution;Cyber-physical system;cyber security;data & physical model-driven;edge resilient control;feeder automation
期刊:
IEEE Transactions on Smart Grid
ISSN:
1949-3053
年:
2025
卷:
16
期:
5
页码:
4184-4196
基金类别:
Smart Gird-National Science and Technology Major Project [2024ZD0800800]; Science and Technology Project of SGCC (State Grid Corporation of China): Low-Carbon and Reliable Urban Power Distribution System Demonstration Project [SGTJDK00DWJS2400298]
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
The extensive application of the distributed feeder automation system (DFAs) is a prominent feature of the power distribution system (PDS). To enhance the resilience of DFAs to cyberattacks and hybrid attacks (contains both physical and cyber-attacks), this paper proposes an edge resilient control approach (ERCA) for DFAs, which integrates attack detection and mitigation. Two key modules are developed: 1) Edge Cyberattack Detection and Correction Module (ECDCM), achieving quick cyberattack detection and correction based on machine learning and physical constraints; 2) Consensus-based Fault Sec...

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