Hybrid Policy Deep Reinforcement Learning-Based Robust Optimization for Emergency Dispatching of Multi-Park Integrated Energy Systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hybrid Policy Deep Reinforcement Learning-Based Robust Optimization for Emergency Dispatching of Multi-Park Integrated Energy Systems

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:
language:
Short-container-title:

Author:

Huang Shaowei,Ding Lifu,Chen Ying,Yang Zhao,Xiao Tannan

Publisher

Elsevier BV

Reference34 articles.

1. Texas electric power crisis of 2021 warns of a new blackout mechanism;G Zhang;CSEE Journal of Power and Energy Systems,2022

2. Pre-disaster and mid-disaster resilience improvement strategy of high proportion renewable energy system considering frequency stability;H Wan;International Journal of Electrical Power and Energy Systems

3. A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration;T Ding;Applied Energy,2017

4. A method for evaluating the rescue priority level of power line postdisaster based on AHP;H Yu;14th IEEE International Conference on Mechatronics and Automation,2017

5. Scheduling Post-Disaster Power System Repair with Incomplete Failure Information: A Learning-to-Rank Approach;J Yan;IEEE Transactions on Power Systems,2022

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