Reinforcement learning-based event-triggered secondary control of DC microgrids-Reference-Cited by-同舟云学术

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Reinforcement learning-based event-triggered secondary control of DC microgrids

Published:2024-06 Issue: Volume:11 Page:2818-2831
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Negahdar Houshmand,Karimi Amin^ORCID,Khayat Yousef^ORCID,Golestan Saeed

Publisher

Elsevier BV

Reference37 articles.

1. Robust cooperative control of isolated AC microgrids subject to unreliable communications: A low-gain feedback approach;Afshari;IEEE Syst. J.,2021

2. A distributed event-triggered control strategy for DC microgrids based on publish-subscribe model over industrial wireless sensor networks;Alavi;IEEE Trans. Smart Grid,2018

3. A review of stabilization methods for DCMG with CPL, the role of bandwidth limits and droop control;Ansari;Protect. Control Mod. Power Syst.,2022

4. The role of energy communities in electricity grid balancing: A flexible tool for smart grid power distribution optimization;Barone;Renew. Sustain. Energy Rev.,2023

5. SDRE-based primary control of DC microgrids equipped by a fault detection/isolation mechanism;Batmani;Energy Rep.,2022

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