Distributed Multi-Agent Reinforcement Learning for Autonomus Management of Renewable Energy Microgrids-Reference-Cited by-同舟云学术

Distributed Multi-Agent Reinforcement Learning for Autonomus Management of Renewable Energy Microgrids

Published:2024-05-27 Issue: Volume:10 Page:298-304
ISSN:
Container-title:2024 12th International Conference on Smart Grid (icSmartGrid)
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Author:

Nuvvula Ramakrishna S S¹,Kumar Polamarasetty P²,Ahammed Syed Riyaz³,Satyanarayana Vanam.⁴,Babu Bachina Harish⁵,Siva Subramanyam Reddy R.⁶,Ali Ahmed⁷

Affiliation:

1. NMAM Institute of Technology, NITTE Deemed to be University),Deparmtent of Electrical and Electronics Engineering,Karnataka,India

2. GMR Institute of Technology,Department of Electrical and Electronics Engineering,Rajam,India

3. NMAM Institute of Technology, NITTE Deemed to be University),Department of Electronics & Communication Engineering,Karnataka,India

4. Vaagdevicollege of Engineering,Department of Electrical Engineering,Warangal,Telangana,India

5. VNR Vignana Jyothi Institute Of Engineering & Technology,Department of Automobile Engineering,Telangana

6. Sri Kalahasteeswara Institute of Technology (SKIT),Department of EEE,Srikalahasti, Balaji (Dist),Andhra Pradesh (A.P)

7. University of Johannesburg,Department of Electrical and Electronic Engineering Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577998/10578066/10578150.pdf?arnumber=10578150

Reference11 articles.

1. Challenges in Renewable Energy Microgrid Management;Smith;*IEEE Transactions on Sustainable Energy,2020

2. Traditional vs. Adaptive Methods in Microgrid Management;Brown;*IEEE Transactions on Smart Grid,2021

3. Multi-Agent Reinforcement Learning for Energy Management in Microgrids;Lee;*IEEE Transactions on Power Systems,2019

4. Decentralized Control of Renewable Energy Microgrids Using Multi-Agent Reinforcement Learning;Chen;*IEEE Transactions on Control Systems Technology,2022

5. Reinforcement Learning in Energy Systems: A Comprehensive Review;Zhang;*IEEE Transactions on Power Systems,2023