Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning

Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning

ObjectiveIn the new power system, energy storage devices are constrained by geographical limitations and single dispatch methods, leading to low utilization efficiency, which severely restricts the effective integration of renewable energy. To address this, we consider integrating energy storage res...

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Bibliographic Details
Main Authors:	CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng
Format:	Article
Language:	English
Published:	Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2025-01-01
Series:	工程科学与技术
Subjects:	deep reinforcement learning new energy generation shared energy storage multi-agent optimal scheduling
Online Access:	http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202400703
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