Active Distribution Network Reconfiguration with Renewable Energy Based on Multi-agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Active Distribution Network Reconfiguration with Renewable Energy Based on Multi-agent Deep Reinforcement Learning

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)
language:
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Author:

Lin Zheng¹,Jiang Changxu¹,Lu Yuejun¹,Liu Chenxi¹

Affiliation:

1. College of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165683/10165687/10166046.pdf?arnumber=10166046

Reference30 articles.

1. Dynamic reconfiguration of three-phase unbalanced distribution networks considering unbalanced operation constraint of distributed generation;yang;Proceedings of the CSEE,0

2. Distribution network reconfiguration with multi-objective based on improved immune algorithm;li;Power System Technology,2011

3. Distribution network reconfiguration with quantum genetic algorithm as the goal of load balancing;zhong;Power Distribution,2018

4. Genetic algorithm with mesh check for distribution network topology recongfiguration;sun;Automation of Electric Power Systems,2018

5. Research on Distribution Network Reconfiguration Based on Deep Q-learning Network

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