Cyber–Physical Power System Dataset for Cyber Security of Digital Substations

Abstract

Cyber attacks targeting Intelligent Electronic Devices (IEDs) in digital substations can disrupt power system operation, causing equipment damage, instability, cascading failures, and even a blackout. Cyber–Physical Power System (CPPS) datasets are critically needed to develop novel methods for the detection and prevention of cyber attacks on digital substations. In this paper, a novel CPPS dataset is proposed for cyber security of digital substations, including real-time power system measurements, i.e., electromagnetic transient three-phase voltages and currents, communication network traffic, and virtual IED resource metrics. Various scenarios are simulated on an IEC 61850-compliant testbed consisting of Real-Time Digital Simulator (RTDS) and physical and virtual IEDs in hardware-in-the-loop configuration. The dataset contains different operating conditions and cyber attack scenarios, i.e., normal operation, single-phase-to-ground fault, network reconnaissance, resource exhaustion, and IEC 61850 Generic Object-Oriented Substation Event (GOOSE) and Sampled Values (SV) injection attacks. This work aims to provide the research community with a comprehensive and high-fidelity dataset to be used for the design and testing of novel methodologies to increase the cyber security of power grids.