Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids

no code implementations • 1 Oct 2021 • Subhash Lakshminarayana, Saurav Sthapit, Hamidreza Jahangir, Carsten Maple, H Vincent Poor

Timely detection and identification of any compromised nodes are essential to minimise the adverse effects of these attacks on power grid operations.

Edge-computing

A Comparison of Data-Driven Techniques for Power Grid Parameter Estimation

no code implementations • 8 Jul 2021 • Subhash Lakshminarayana, Saurav Sthapit, Carsten Maple

Our results show that the SINDy algorithm outperforms the PINN and UKF algorithms in being able to accurately estimate the power grid parameters over a wide range of system parameters (including high and low inertia systems).