Control and Coordination of Multiple PV Inverters in Power Distribution Network using Multi Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Control and Coordination of Multiple PV Inverters in Power Distribution Network using Multi Agent Deep Reinforcement Learning

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)
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Author:

Rehman Anis Ur¹,Ali Muhammad¹,Iqbal Sheeraz¹,Ali Syed Danish¹,Shafiq Aqib¹,Iqbal Raja Tahir¹,Usman Mohtasim¹

Affiliation:

1. University of Azad Jammu and Kashmir,Department of Electrical Engineering,Muzaffarabad 13100,AJK,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068858/10068785/10069331.pdf?arnumber=10069331

Reference12 articles.

1. Multi-agent Reinforcement Learning in a Large Scale Environment via Supervisory Network and Curriculum Learning

2. Machine Learning Based Fault Type Identification In the Active Distribution Network

3. Using Q-Learning for OLTC Voltage Regulation in PV-Rich Distribution Networks

4. Artificial Intelligence-Based Control and Coordination of Multiple PV Inverters for Reactive Power/Voltage Control of Power Distribution Networks

5. Distributed and Decentralized Voltage Control of Smart Distribution Networks: Models, Methods, and Future Research

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1. Digital twin technology for enhanced smart grid performance: integrating sustainability, security, and efficiency;Frontiers in Energy Research;2024-06-21

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