This project develops an optimal power flow (OPF) solution for a distribution network with renewable resources and stochastic loads using deep reinforcement learning (DRL). Aiming to minimize power loss and maintain system constraints, it compares DRL-based controllers to traditional methods for efficient, real-time control.
☆14Dec 6, 2024Updated last year
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