μPMU-based islanding detection method in power distribution systems
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference22 articles.
1. Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems;Kim;Energies,2019
2. Ostojić M.M., Djurić M.B. The Algorithm with Synchronized Voltage Inputs for Islanding Detection of Synchronous Generators. International Journal of Electrical Power & Energy Systems. 2018; 103:431–39.https://doi.org/10.1016/j.ijepes.2018.06.023.
3. An Active Islanding Detection Strategy With Zero Nondetection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern;Sivadas;IEEE Transactions on Industrial Electronics,2020
4. Guo Y., Li K., Laverty D.M., Xue Y. Synchrophasor-Based Islanding Detection for Distributed Generation Systems Using Systematic Principal Component Analysis Approaches. IEEE Transactions on Power Delivery.2015; 30(6): 2544–52.https://doi.org/10.1109/tpwrd.2015.2435158.
5. Synchrophasor Data Driven Islanding Detection, Localization and Prediction for Microgrid Using Energy Operator. IEEE Transactions on Power Systems;Sankar,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. Enhancing distribution system resilience using micro-phasor measurement units to address unintentional islands following faults;Electrical Engineering;2024-09-02
2. Measurement of impedance angle for anti-islanding protection in multi-source distribution network;Energy Reports;2024-06
3. Synchrophasor Technology Applications and Optimal Placement of Micro-Phasor Measurement Unit (μPMU): Part II;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23
4. A communication-less islanding detection scheme for hybrid distributed generation systems using recurrent neural network;International Journal of Electrical Power & Energy Systems;2024-01
5. Island detection for grid connected photovoltaic distributed generations via integrated signal processing and machine learning approach;International Journal of Electrical Power & Energy Systems;2023-12
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