Deep Reinforcement Learning-Based Voltage Control Method for Distribution Network with High Penetration of Renewable Energy-Reference-Cited by-同舟云学术

Deep Reinforcement Learning-Based Voltage Control Method for Distribution Network with High Penetration of Renewable Energy

Published:2021-12-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Sustainable Power and Energy Conference (iSPEC)
language:
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Author:

Liu Siqi¹,Ding Cangbi¹,Wang Yiyu¹,Zhang Zhijun¹,Chu Mingzhuo¹,Wang Mingming²

Affiliation:

1. Nanjing University of Posts and Telecommunications,College Of Automation & College Of Artifical Intelligence,Nanjing,China

2. Nanjing University of Posts and Telecommunications,Artifical Intelligence,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9735429/9735430/09736086.pdf?arnumber=9736086

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4. Energy decision optimization of photovoltaic energy storage system based on deep deterministic strategy gradient;li;Renewable Energy Resources,2021

5. An Improved DDPG and Its Application Based on the Double-Layer BP Neural Network

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