Towards Real -Time Distinction of Power System Faults and Cyber Attacks

被引:0
|
作者
Abedi, Ali [1 ]
Rajkumar, Vetrivel S. [1 ]
Stefanov, Alexandru [1 ]
Palensky, Peter [1 ]
机构
[1] Delft Univ Technol, Dept Elect Sustainable Energy, Delft, Netherlands
来源
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM | 2023年
关键词
anomaly detection; cyber attacks; cyber security; power system faults; synchrophasor;
D O I
10.1109/PESGM52003.2023.10253241
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a methodolop, to distinguish between three-phase faults and GOOSE cyber attacks, aimed at opening the circuit breakers in the power grid. We propose a scheme that utilizes Phasor Measurement Unit (PMU)-enabled monitoring of power grid states, and communication network packet logs in the substation. In this scheme, by leveraging both cyber and physical data correlations and applying a Seasonal Autoregressive Moving Average (SARNIA) model, we successfully distinguish between 3 -phase faults and cyber attacks. The proposed scheme is tested using the benchmark IEEE 9 -bus system, and can distinguish cyber attacks from faults in less than 0.2s. This demonstrates the usefulness of the proposed scheme for power system cyber security analytics.
引用
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页数:5
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