Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning

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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Bibliographic Details
Main Authors: Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
DC microgrids
Multi-agent system
Deep reinforcement learning
Secondary control
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061524005581
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