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Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels
Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2
Accurate fault location is critical for distribution network reliability. However, increasing distributed energy resource (DER) penetration complicates fault location due to interm…
Forecasting what Matters: Decision-Focused RL for Controlled EV Charging with Unknown Departure Times
Giuseppe Gabriele, Fabio Pavirani, Seyed Soroush Karimi Madahi +1
The recent growth of EV adoption poses challenges for power systems, including increased peak demand and potential grid instability. Smart control of EV charging -- e.g., based on…
Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
Burak Karabulut, Carlo Manna, Chris Develder
Fault location in distribution grids is critical for reliability and minimizing outage durations. Yet, it remains challenging due to partial observability, given sparse measurement…
Generalization of Graph Neural Network Models for Distribution Grid Fault Detection
Burak Karabulut, Carlo Manna, Chris Develder
Fault detection in power distribution grids is critical for ensuring system reliability and preventing costly outages. Moreover, fault detection methodologies should remain robust…