Digital Twin for Evaluating Detective Countermeasures in Smart Grid Cybersecurity

TL;DR

This paper presents a digital twin framework for simulating and evaluating cybersecurity countermeasures in smart grids, enhancing resilience and robustness against cyber threats through integrated cyber-physical testing.

Contribution

It introduces a comprehensive digital twin model combining communication and power network simulation for cybersecurity assessment in smart grids.

Findings

Validated security countermeasures using hardware-in-the-loop testing.

Demonstrated improved resilience of smart grid under cyberattack scenarios.

Enhanced understanding of vulnerabilities in cyber-physical smart grid systems.

Abstract

As the integration of digital technologies and communication systems continues within distribution grids, new avenues emerge to tackle energy transition challenges. Nevertheless, this deeper technological immersion amplifies the necessity for resilience against threats, encompassing both systemic outages and targeted cyberattacks. To ensure the robustness and safeguarding of vital infrastructure, a thorough examination of potential smart grid vulnerabilities and subsequent countermeasure development is essential. This study delves into the potential of digital twins, replicating a smart grid's cyber-physical laboratory environment, thereby enabling focused cybersecurity assessments. Merging the nuances of communication network emulation and power network simulation, we introduce a flexible, comprehensive digital twin model equipped for hardware-in-the-loop evaluations. Through this innovative framework, we not only verify and refine security countermeasures but also underscore their role in maintaining grid stability and trustworthiness.