A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration

Published:2023-10-01 Issue: Volume:38 Page:1866-1871
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
Short-container-title:

Author:

Si Ruiqi¹,Qiao Ji²,Wang Xiaohui²,Ji Kaixuan²,Wang Zibo²,Jun Zhang¹,Pan Xuanying¹,Zhang Zhengyan¹

Affiliation:

1. School of Electrical Engineering and Automation, Wuhan University,Wuhan,Hubei,China

2. China Electric Power Research Institute,Department of Artificial Intelligence Application,Beijing,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394147.pdf?arnumber=10394147

Reference39 articles.

1. Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs

2. Consensus-Based Approach for Active Power Control and Reserve Estimation in Distributed PV Systems

3. Enabling and Evaluation of Inertial Control for PMSG-WTG Using Synchronverter With Multiple Virtual Rotating Masses in Microgrid

4. Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids

5. Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP