Towards Real-Time Distinction of Power System Faults and Cyber Attacks
A. Abedi (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Vetrivel Subramaniam Rajkumar (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Alexandru Stefanov (TU Delft - Electrical Engineering, Mathematics and Computer Science)
P. Palensky (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
This paper presents a methodology 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 (SARMA) 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.