Optimizing electricity demand scheduling in microgrids using deep reinforcement learning for cost‐efficiency

Optimizing electricity demand scheduling in microgrids using deep reinforcement learning for cost‐efficiency

Abstract Renewable energy sources (RES) are increasingly being developed and used to address the energy crisis and protect the environment. However, the large‐scale integration of wind and solar energy into the power grid is still challenging and limits the adoption of these new energy sources. Micr...

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Bibliographic Details
Main Authors: Baoyin Xiong, Yiguo Guo, Liyang Zhang, Jianbin Li, Xiufeng Liu, Long Cheng
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Generation, Transmission & Distribution
Subjects:
distributed algorithms
distributed control
electricity supply industry
power control
Online Access:https://doi.org/10.1049/gtd2.12866

Internet

https://doi.org/10.1049/gtd2.12866

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