Reinforcement Learning-Based Wind Farm Control: Toward Large Farm Applications via Automatic Grouping and Transfer Learning
Author:
Affiliation:
1. Intelligent Control and Smart Energy Research Group, School of Engineering, University of Warwick, Coventry, U.K.
Funder
Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10288179/10059130.pdf?arnumber=10059130
Reference39 articles.
1. Cooperative wind turbine control for maximizing wind farm power using sequential convex programming
2. Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization
3. The surprising effectiveness of ppo in cooperative, multi-agent games;yu,2021
4. Deep Neural Learning Based Distributed Predictive Control for Offshore Wind Farm Using High-Fidelity LES Data
Cited by 6 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. Enhancing cybersecurity in wind turbines: A resilient reinforcement learning-based optimal control for mitigating FDI attacks;Applied Energy;2024-11
2. Data-Driven PID Controller of Wind Turbine Systems Using Safe Experimentation Dynamics Algorithm;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06
3. Multi‐dimensional evaluation and diagnostic methods for wind turbine power generation performance based on different influencing factors;IET Renewable Power Generation;2024-01-19
4. A Physics-Constrained TD3 Algorithm for Simultaneous Virtual Inertia and Damping Control of Grid-Connected Variable Speed DFIG Wind Turbines;IEEE Transactions on Automation Science and Engineering;2024
5. Reinforcement learning for wind-farm flow control: Current state and future actions;Theoretical and Applied Mechanics Letters;2023-11
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