Measuring power systems load conditions through data segmentation

M. D'Apuzzo, M. D’Arco, G. Ianniello, A. Liccardo
{"title":"Measuring power systems load conditions through data segmentation","authors":"M. D'Apuzzo, M. D’Arco, G. Ianniello, A. Liccardo","doi":"10.1109/I2MTC.2013.6555404","DOIUrl":null,"url":null,"abstract":"Modeling and analysis of the functioning of power systems is very difficult because of time varying and non-linear behaviors. Often power systems are described trough simplified approaches. The most widespread one recognizes load conditions that can be considered stationary within limited time intervals, in order to apply thus standard harmonic analysis techniques. Here a data segmentation approach to distinguish the time intervals in which stationary load conditions can be recognized is discussed and assessed.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2013.6555404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Modeling and analysis of the functioning of power systems is very difficult because of time varying and non-linear behaviors. Often power systems are described trough simplified approaches. The most widespread one recognizes load conditions that can be considered stationary within limited time intervals, in order to apply thus standard harmonic analysis techniques. Here a data segmentation approach to distinguish the time intervals in which stationary load conditions can be recognized is discussed and assessed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过数据分割测量电力系统负载状况
由于电力系统的时变和非线性行为,对其进行建模和分析是非常困难的。电力系统通常是通过简化的方法来描述的。最广泛的一种方法是识别在有限的时间间隔内可以被认为是平稳的负载条件,以便应用标准的谐波分析技术。这里讨论和评估了一种数据分割方法,以区分可以识别固定负载条件的时间间隔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Face based recognition algorithms: The use of uncertainty in the classification Estimation and analysis of communication service time in a real-time wireless industrial network Analytic redundance applied to the relay-connected instrumentation of electric power distribution substations Hierarchical sparse learning for load forecasting in cyber-physical energy systems Microwave conductance of semicontinuous metallic films from coplanar waveguide scattering parameters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1