Computer Science > Machine Learning
[Submitted on 16 Jul 2024]
Title:Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
View PDF HTML (experimental)Abstract:We propose a comprehensive approach to increase the reliability and resilience of future power grids rich in distributed energy resources. Our distributed scheme combines federated learning-based attack detection with a local electricity market-based attack mitigation method. We validate the scheme by applying it to a real-world distribution grid rich in solar PV. Simulation results demonstrate that the approach is feasible and can successfully mitigate the grid impacts of cyber-physical attacks.
Submission history
From: Vineet Jagadeesan Nair [view email][v1] Tue, 16 Jul 2024 10:23:00 UTC (1,034 KB)
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