8 citations · 11 across the 3 of their papers we have counts for
7 papers
Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
The main objective of this article is to develop scalable dynamic anomaly detectors when high-fidelity simulators of power systems are at our disposal. On the one hand, mathematica…
False Data Injection Attacks on Hybrid AC/HVDC Interconnected System with Virtual Inertia -- Vulnerability, Impact and Detection
Kaikai Pan, Elyas Rakhshani, Peter Palensky
Power systems are moving towards hybrid AC/DC grids with the integration of HVDC links, renewable resources and energy storage modules. New models of frequency control have to cons…
From Static to Dynamic Anomaly Detection with Application to Power System Cyber Security
Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani
Developing advanced diagnosis tools to detect cyber attacks is the key to security of power systems. It has been shown that multivariate data injection attacks can bypass bad data…
Smart Grid Co-Simulation with MOSAIK and HLA: A Comparison Study
Cornelius Steinbrink, Arjen A. van der Meer, Milos Cvetkovic +4
Evaluating new technological developments for energy systems is becoming more and more complex. The overall application environment is a continuously growing and interconnected cyb…
Data Attacks on Power System State Estimation: Limited Adversarial Knowledge vs. Limited Attack Resources
Kaikai Pan, André Teixeira, Milos Cvetkovic +1
A class of data integrity attack, known as false data injection (FDI) attack, has been studied with a considerable amount of work. It has shown that with perfect knowledge of the s…
Cyber Risk Analysis of Combined Data Attacks Against Power System State Estimation
Kaikai Pan, André Teixeira, Milos Cvetkovic +1
Understanding smart grid cyber attacks is key for developing appropriate protection and recovery measures. Advanced attacks pursue maximized impact at minimized costs and detectabi…