A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids

A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids

Abstract This paper develops a multi-timescale coordinated operation method for microgrids based on modern deep reinforcement learning. Considering the complementary characteristics of different storage devices, the proposed approach achieves multi-timescale coordination of battery and supercapacito...

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Bibliographic Details
Main Authors: Chunchao Hu, Zexiang Cai, Yanxu Zhang, Rudai Yan, Yu Cai, Bowei Cen
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:Protection and Control of Modern Power Systems
Subjects:
Microgrid operation
Hybrid energy storage system
Deep reinforcement learning
Online Access:https://doi.org/10.1186/s41601-022-00252-z

Internet

https://doi.org/10.1186/s41601-022-00252-z

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