Distributed Online Dispatch for Microgrids Using Hierarchical Reinforcement Learning Embedded With Operation Knowledge

This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for the DOED of networked microgrids (MGs), where insufficient explorati...

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