Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning
Multi-agent reinforcement learning has emerged as a promising candidate for the secondary control of DC microgrids. However, the one-stage reward function incorporating both voltage regulation and current sharing results in the significant bus voltage fluctuations and long current sharing time. To a...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524005581 |
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