Offline Reinforcement Learning for Distribution-Grid Protection
Data-driven protection may complement conventional relays in distribution grids whose operating conditions vary with distributed generation, switching events, and changing short-circuit levels. We study line-selective tripping from static trajectories of a realistically simulated CIGRE medium-voltage network using offl...
Julian Oelhaf, Alexander Luce, C. Bergler et al.
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