A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control-Reference-Cited by-同舟云学术

A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control

Published:2021-10-29 Issue:16 Volume:15 Page:3941-3956
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Huang Qin¹^ORCID,Hu Weihao¹,Zhang Guozhou¹,Cao Di¹^ORCID,Liu Zhou²,Huang Qi¹,Chen Zhe²^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China

2. Department of Energy Technology Aalborg University Pontoppidanstraede 111 Aalborg Denmark

Funder

National Basic Research Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12311

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5. Frequency stability in modern power network from complex network viewpoint

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