Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Decentralised optimisation for large offshore wind farms using a sparsified wake directed graph

Published:2022-01 Issue: Volume:306 Page:117986
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Shu Tong,Song Dongran,Hoon Joo Young

Funder

National Research Foundation of Korea

Kementerian Pendidikan Malaysia

Central South University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference43 articles.

1. Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?;Zhao;Appl Energy,2020

2. Active power dispatch optimization for offshore wind farms considering fatigue distribution;Liao;Renew Energy,2020

3. A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability;Famoso;Appl Energy,2020

4. J. Yang et al., “Review of control strategy of large horizontal-axis wind turbines yaw system,” Wind Energy, vol. n/a, no. n/a, doi: 10.1002/we.2564.

5. Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines;Song;J Modern Power Syst Clean Energy,2021

Cited by 16 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. An efficient solution for large offshore wind farm power optimization with the Porté-Agel wake model: Optimality and efficiency;Energy;2024-10

2. Wind turbine wakes modeling and applications: Past, present, and future;Ocean Engineering;2024-10

3. Machine-learning-based wind farm optimization through layout design and yaw control;Renewable Energy;2024-04

4. A novel framework for photovoltaic energy optimization based on supply–demand constraints;Frontiers in Energy Research;2023-12-29

5. Green Hydrogen Production and Consumption Method for Offshore Wind Power Based on Electric Hydrogen Coupling;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

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