A Novel High-Impedance Fault Detection Technique in Smart Active Distribution Systems
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Funder
Science and Engineering Research Board, Department of Science and Technology, Government of India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10372144/10155649.pdf?arnumber=10155649
Reference40 articles.
1. An Intelligent Detection of High-Impedance Faults for Distribution Lines Integrated With Distributed Generators
2. High-Impedance Fault Identification on Distribution Networks
3. High‐impedance fault detection in electrical power distribution systems using moving sum approach
4. HIF detection in distribution networks based on Kullback–Leibler divergence
5. High-Impedance Fault Detection Based on Nonlinear Voltage–Current Characteristic Profile Identification
Cited by 8 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. Fault detection and fault phase identification in a VSC-MT-HVDC link using Stockwell transform and Teager energy operator;Electric Power Systems Research;2024-11
2. Reliable high impedance fault detection method based on the roughness of the neutral current in active distribution systems;International Journal of Electrical Power & Energy Systems;2024-08
3. High impedance fault detection in distribution networks using randomness of zero-sequence current signal: A detrended fluctuation analysis approach;Applied Energy;2024-08
4. High Impedance Fault Detection Based on Arc Changing Tendency and Nonlinear Least Squares for Active Distribution Networks;IEEE Transactions on Industrial Informatics;2024-06
5. Feature-based High Impedance Fault Detection in the Distribution System Using Hilbert and Fourier Transforms;2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D);2024-05-06
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