Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer-Reference-Cited by-同舟云学术

Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wang Minrui¹,Feng Mingxiao¹,Zhou Wengang²,Li Houqiang²

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. University of Science and Technology of China & Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539480

Reference30 articles.

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2. Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing

3. A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters

4. Di Cao , Junbo Zhao , Weihao Hu , Fei Ding , Qi Huang , and Zhe Chen . 2020. Distributed voltage regulation of active distribution system based on enhanced multi-agent deep reinforcement learning. arXiv preprint arXiv:2006.00546 ( 2020 ). Di Cao, Junbo Zhao, Weihao Hu, Fei Ding, Qi Huang, and Zhe Chen. 2020. Distributed voltage regulation of active distribution system based on enhanced multi-agent deep reinforcement learning. arXiv preprint arXiv:2006.00546 (2020).

5. Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs

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