Fault Detection and Localization in Active Distribution Networks Using Optimally Placed Phasor Measurements Units
Author:
Affiliation:
1. Department of Electrical, Electronics and Telecomunication Engineering and Naval Architecture, Università degli Studi di Genova, Genova, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/9998169/09751367.pdf?arnumber=9751367
Reference42 articles.
1. Validation of a PMU‐based fault location identification method for smart distribution network with photovoltaics using real‐time data
2. A Micro-PMU Placement Scheme for Distribution Systems Considering Practical Constraints
3. Event detection and localization in distribution grids with phasor measurement units
4. Fault location observability analysis and optimal meter placement based on voltage measurements
5. Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation
Cited by 21 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. Optimal placement of uPMUs to improve the reliability of distribution systems through genetic algorithm and variable neighborhood search;Electric Power Systems Research;2024-11
2. Sliding mode control strategy of grid-forming energy storage converter with fast active support of frequency and voltage;Frontiers in Energy Research;2024-07-24
3. Low-voltage characteristic voltage based fault distance estimation method of distribution network;Frontiers in Energy Research;2024-04-09
4. Algoritmo heurístico para ubicación óptima de uPMUs considerando la mejora de la confiabilidad del sistema de distribución;Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL;2024-01-30
5. Sparse Overcomplete Representation Fault Location Model in Distribution Networks and Efficient Solution Using FastLaplace Bayesian;IEEE Transactions on Instrumentation and Measurement;2024
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