登录 注册 会员服务 联系我们

Low-inertia control of a large-scale renewable energy penetration in power grids: A systematic review with taxonomy and bibliometric analysis

  • Published:2024-03 Issue: Volume:52 Page:101337
  • ISSN:2211-467X
  • Container-title:Energy Strategy Reviews
  • language:en
  • Short-container-title:Energy Strategy Reviews

Author:

Badrudeen Tayo UthmanORCID,Nwulu Nnamdi I.,Gbadamosi Saheed Lekan

Publisher

Elsevier BV

Reference104 articles.

1. Neural network based approach for steady-state stability assessment of power system;Badrudeen;Sustainability,2023

2. Smart Frequency Control in Low Inertia Energy Systems Based on Frequency Response Techniques: A Review;Cheng,2020

3. Electromechanical Interactions of Full Scale Converter Wind Turbine with Power Oscillation Damping and Inertia Control;Edrah,2022

4. Analysis on the inertia and the damping characteristics of DFIG under multiple working conditions based on the grid-forming control;Hu,2022

5. Frequency stability using MPC-based inverter power control in low-inertia power systems;Ademola-Idowu;IEEE Trans. Power Syst.,2021

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. Elimination of power and frequency oscillations for AC microgrid with parallel virtual synchronous generator and synchronous generator;Renewable Energy Focus;2024-09

2. The efficacy of a cellular approach to resilience-oriented operation of distribution grids based on eigenvectors of the Laplacian matrix;ISA Transactions;2024-08

3. A Scalable Optimal Control Algorithm for the Operation of a Resilient Power Grid Architecture;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19

4. Management of environmental and economic tradeoffs for the optimization of renewable energy scheme;International Journal of Sustainable Energy;2024-06-16

5. Development of machine learning algorithms for fault detection in power systems - a review;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
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