Design and Evaluation of A Cyber-Physical Resilient Power System Testbed
Not on the map. Why?
Abstract (arXiv)
A power system is a complex cyber-physical system whose security is critical to its function. A major challenge is to model and analyze its communication pathways with respect to cyber threats. To achieve this, the design and evaluation of a cyber-physical power system (CPPS) testbed called Resilient Energy Systems Lab (RESLab) is presented that captures realistic cyber, physical, and protection system features. RESLab is architected to be a fundamental tool for studying and improving the resilience of complex CPPS to cyber threats. The cyber network is emulated using Common Open Research Emulator (CORE) that acts as a gateway for the physical and protection devices to communicate. The physical grid is simulated in the dynamic time frame using PowerWorld Dynamic Studio (PWDS). The protection components are modeled with both PWDS and physical devices including the SEL Real-Time Automation Controller (RTAC). Distributed Network Protocol 3 (DNP3) is used to monitor and control the grid. Then, exemplifying the design and validation of these tools, this paper presents four case studies on cyber-attack and defense using RESLab, where we demonstrate false data and command injection using Man-in-the-Middle and Denial of Service attacks and validate them on a large-scale synthetic electric grid.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Nov 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 1.
3 papers.
- 2021Multi-Source Data Fusion for Cyberattack Detection in Power Systemscited by 4
- 2021Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approachcited by 0
- 2023Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertaintycited by 0
- 2023Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty25 May 2023
- 2021Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach20 Nov 2021
- 2021Multi-Source Data Fusion for Cyberattack Detection in Power Systems18 Jan 2021