Graph Attention Reinforcement Learning with Electrical Prior Knowledge for Distribution System Restoration
Case studies on the IEEE 34-bus system demonstrate that the proposed graph attention-based coupling-aware reinforcement learning method outperforms benchmark algorithms in training convergence, restored power, and online decision efficiency, enabling fast and effective distribution system restoration.
Yue Feng, Hongtao Wang
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