A new approach of fast fault detection in HV-B transmission lines based on Detail Spectrum Energy analysis using oscillographic data
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference14 articles.
1. Silva KM, Dantas KMC, Souza BA, Brito NSD, Silva JACB. Haar wavelet-based method for fast fault classification in transmission lines. In: IEEE transmission and distribution conference and exposition: Latin America; August 2006. p. 1–5.
2. Protection of parallel transmission lines using wavelet transform;Osman;IEEE Trans Power Deliv,2004
3. Fault detection and classification in transmission lines based wavelet transform and ANN;Silva;IEEE Trans Power Deliv,2006
4. Recent techniques used in transmission line protection: a review;Babu;Int J Eng, Sci Technol,2011
5. Costa FB, Souza BA, Brito NSD. Real-time detection and classification of power system disturbances based on maximum overlap discrete wavelet transform. In: 17th Power systems computation conference. Stockholm, Sweden; August 2011.
Cited by 7 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. A comprehensive backup protection for transmission lines based on an intelligent wide‐area monitoring system;International Transactions on Electrical Energy Systems;2021-03-17
2. Fault Detection and Classification Scheme for Transmission Lines Connecting Windfarm Using Single end Impedance;IETE Journal of Research;2021-02-23
3. Distributed Fast Fault Detection in DC Microgrids;IEEE Systems Journal;2020
4. Detection and Analysis of Power System Faults in the Presence of Wind Power Generation Using Stockwell Transform Based Median;Intelligent Computing Techniques for Smart Energy Systems;2019-12-17
5. Transmission lines’ fault detection using syntactic pattern recognition;Energy Systems;2018-04-05
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