Deep multi‐agent Reinforcement Learning for cost‐efficient distributed load frequency control
Abstract The rise of microgrid‐based architectures is modifying significantly the energy control landscape in distribution systems, making distributed control mechanisms necessary to ensure reliable power system operations. In this article, the use of Reinforcement Learning techniques is proposed to...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-09-01
|
Series: | IET Energy Systems Integration |
Online Access: | https://doi.org/10.1049/esi2.12030 |