Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning
The multi-directional flow of energy in a multi-microgrid (MMG) system and different dispatching needs of multiple energy sources in time and location hinder the optimal operation coordination between microgrids. We propose an approach to centrally train all the agents to achieve coordinated control...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2023-01-01
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| Serie: | Journal of Modern Power Systems and Clean Energy |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10082859/ |
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