Identification of voltage sag source location using S and TT transformed disturbance power
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-013-1463-5.pdf
Reference18 articles.
1. NUNEZ V B, MOLINER X B, FRIGOLA J M, JARAMILLO S H, SANCHEZ J, CASTRO M. Two methods for voltage sag source location [C]// Intel Conference on Harmonics and Quality of Power. Wollongong, NSW: IEEE Press, 2008: 1–6.
2. PARSONS A C, GRADY W M, POWERS E J, SOWARD J C. A direction finder for power quality disturbances based upon disturbance power and energy [J]. IEEE Transaction on Power Delivery, 2000, 15(3): 1081–1086.
3. LI C, TAYJASANANT T, XU W, LIU X. Method for voltage-sag source detection by investigating slope of the system trajectory [J]. IEE Generation Transmission and Distribution, 2003, 150(3): 367–372.
4. HAMZAH N, MOHAMED A, HUSSAIN A. A new approach to locate the voltage sag source using real current component [J]. Electric Power System Research, 2004, 72(2): 113–123.
5. TAYJASANANT T, LI V, XU W. A resistance sign-based method for voltage sag source detection [J]. IEEE Transaction on Power Delivery, 2005, 20(4): 2544–2551.
Cited by 17 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. Most influential feature form for supervised learning in voltage sag source localization;Engineering Applications of Artificial Intelligence;2024-07
2. Power Quality Monitors Displacement Based on Voltage Sags Propagation Mechanism and Grid Reliability Indexes;Applied Sciences;2023-10-27
3. An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems;IEEE Access;2023
4. Voltage-sag source detection: Developing supervised methods and proposing a new unsupervised learning;Sustainable Energy, Grids and Networks;2022-12
5. A Novel Power Quality Monitor Placement in Transmission Systems Method Using Binary Teaching Learning-Based Optimization Algorithm Considering Monitoring Redundancy;International Journal of Integrated Engineering;2022-06-21
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