Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach
Author:
Funder
National Natural Science Foundation of China
UCOP
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
https://ieeexplore.ieee.org/ielaam/5165411/8643651/8240622-aam.pdf
Cited by 24 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. Deep Learning Detection and Robust MPC Mitigation for EV-Based Load-Altering Attacks on Wind-Integrated Power Grids;IEEE Transactions on Industrial Cyber-Physical Systems;2024
2. Synchro Phasor-Based Fault Analysis for Smart Grid Systems;2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET);2023-12-21
3. Targeted Attack Synthesis for Smart Grid Vulnerability Analysis;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15
4. A Deep-Learning-Based Solution for Securing the Power Grid Against Load Altering Threats by IoT-Enabled Devices;IEEE Internet of Things Journal;2023-06-15
5. Effect of Cyberattack on Event Detection Algorithm in Distribution System using Synchrophasor Measurements;2022 22nd National Power Systems Conference (NPSC);2022-12-17
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