Knowledge-enhanced deep reinforcement learning for intelligent event-based load shedding
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference36 articles.
1. Differential evolution applied for anticipatory load shedding with voltage stability considerations;Arya;Int J Electr Power Energ Syst,2012
2. Deep feedback learning based predictive control for power system undervoltage load shedding;Zhu;IEEE Trans Power Syst,2021
3. A new integer-value modeling of optimal load shedding to prevent voltage instability;Ahmadi;Int J Electr Power Energ Syst,2015
4. Optimization of the event-driven emergency load-shedding considering transient security and stability constraints;Xu;IEEE Trans Power Syst,2016
5. Load shedding and its strategies against frequency instability in power systems;Xu,2012
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigation on Transient Stability Enhancement of Multi-VSG System Incorporating Resistive SFCLs Based on Deep Reinforcement Learning;IEEE Transactions on Industry Applications;2024-01
2. Intelligent and rapid event-based load shedding pre-determination for large-scale power systems: Knowledge-enhanced parallel branching dueling Q-network approach;Applied Energy;2023-10
3. High-capacity Multi-level Emergency Load Shedding Technology for Electrolytic Aluminum Load;2023 8th International Conference on Power and Renewable Energy (ICPRE);2023-09-22
4. Value aided optimal load shedding accounting voltage stability consideration employing Crow Search Algorithm with modification based on Lampinen’s criterion;Applied Soft Computing;2023-08
5. Review of Deep Reinforcement Learning and Its Application in Modern Renewable Power System Control;Energies;2023-05-17
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3