Extreme learning machine for real-time damping of LFO in power system networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-020-01075-7.pdf
Reference53 articles.
1. Kundur P, Balu NJ, Lauby MG (1994) Power system stability and control. McGraw-Hill, New York
2. Bhukya J, Mahajan V (2019) Optimization of damping controller for PSS and SSSC to improve stability of interconnected system with DFIG based wind farm. Int J Electr Power Energy Syst 108:314–335. https://doi.org/10.1016/J.IJEPES.2019.01.017
3. Sambariya DK, Prasad R (2013) Design of PSS for SMIB system using robust fast output sampling feedback technique. In: 2013 7th international conference on intelligent system's and control, pp 166–171
4. Jolfaei MG, Sharaf AM, Shariatmadar SM, Poudeh MB (2016) A hybrid PSS–SSSC GA-stabilization scheme for damping power system small signal oscillations. Int J Electr Power Energy Syst 75:337–344. https://doi.org/10.1016/j.ijepes.2015.08.024
5. Assi Obaid Z, Cipcigan LM, Muhssin MT (2017) Power system oscillations and control: classifications and PSSs’ design methods: a review. Renew Sustain Energy Rev 79:839–849. https://doi.org/10.1016/J.RSER.2017.05.103
Cited by 10 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. Improvement of low-frequency oscillation damping in power systems using a deep learning technique;Engineering Applications of Artificial Intelligence;2024-11
2. LFO Damping Enhancement in Multimachine Network Using African Vulture Optimization Algorithm;Journal of Energy and Power Technology;2024-01-30
3. A Review of Modern Computational Techniques and Their Role in Power System Stability and Control;Energies;2023-12-28
4. Modified online sequential extreme learning machine algorithm using model predictive control approach;Intelligent Systems with Applications;2023-05
5. Stability improvement of the PSS-connected power system network with ensemble machine learning tool;Energy Reports;2022-11
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