Improving DFIG performance under fault scenarios through evolutionary reinforcement learning based control-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving DFIG performance under fault scenarios through evolutionary reinforcement learning based control

Published:2022-08-03 Issue:19 Volume:16 Page:3825-3836
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Gao Wei¹,Fan Rui¹^ORCID,Huang Renke²,Huang Qiuhua³,Du Yan³,Qiao Wei⁴,Wang Shaobu³,Gao David Wenzhong¹

Affiliation:

1. Department of Electrical and Computer Engineering University of Denver Denver Colorado USA

2. Shanghai Jiao Tong University Shanghai China

3. Pacific Northwest National Laboratory Richland Washington USA

4. Department of Electrical and Computer Engineering University of Nebraska‐Lincoln Lincoln Nebraska USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12563

Reference30 articles.

1. Optimal controller design of a doubly-fed induction generator wind turbine system for small signal stability enhancement

2. Small signal stability analysis and optimal control of a wind turbine with doubly fed induction generator

3. Active and reactive power control for doubly-fed wound rotor induction generator

4. Stability enhancement of DFIG‐based wind turbine system through linear quadratic regulator

5. Overview of Control Systems for the Operation of DFIGs in Wind Energy Applications

Cited by 2 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. Fast Frequency Response Using Reinforcement Learning-Controlled Wind Turbines;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

2. Oscillation Damping Using Reinforcement Learning Controlled HVDC Transmission;2023 IEEE PES GTD International Conference and Exposition (GTD);2023-05

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

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