Compensation of Systematic Measurement Errors in PMU-based Monitoring Systems for Transmission Grids

C. Muscas, P. Pegoraro, C. Sitzia, Antonio Vincenzo Solinas, S. Sulis
{"title":"Compensation of Systematic Measurement Errors in PMU-based Monitoring Systems for Transmission Grids","authors":"C. Muscas, P. Pegoraro, C. Sitzia, Antonio Vincenzo Solinas, S. Sulis","doi":"10.1109/I2MTC50364.2021.9459863","DOIUrl":null,"url":null,"abstract":"In the context of modern power systems, the availability of accurate knowledge of line parameters is a requirement to improve any monitoring and control applications. This knowledge is not easy to obtain even in the presence of a monitoring infrastructure of last generation based on Phasor Measurement Units (PMUs). To address this challenge, the paper proposes a method for improving line parameters estimation through the simultaneous estimation of the systematic measurement errors from the instrument transformers. The problem is faced starting from an appropriate modelling of the system, which includes the uncertainties associated with instrument transformers and PMUs. Moreover, the designed algorithm exploits the available constraint equations derived from the network model. The validity of the proposed approach is tested on a portion of the IEEE 14 bus system and confirmed by the presented results.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC50364.2021.9459863","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

In the context of modern power systems, the availability of accurate knowledge of line parameters is a requirement to improve any monitoring and control applications. This knowledge is not easy to obtain even in the presence of a monitoring infrastructure of last generation based on Phasor Measurement Units (PMUs). To address this challenge, the paper proposes a method for improving line parameters estimation through the simultaneous estimation of the systematic measurement errors from the instrument transformers. The problem is faced starting from an appropriate modelling of the system, which includes the uncertainties associated with instrument transformers and PMUs. Moreover, the designed algorithm exploits the available constraint equations derived from the network model. The validity of the proposed approach is tested on a portion of the IEEE 14 bus system and confirmed by the presented results.
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
基于pmu的输电网监测系统测量误差补偿
在现代电力系统的背景下,获得准确的线路参数知识是改善任何监测和控制应用的必要条件。即使在上一代基于相量测量单元(pmu)的监测基础设施存在的情况下,这种知识也不容易获得。为了解决这一挑战,本文提出了一种通过同时估计仪器变压器的系统测量误差来改进线路参数估计的方法。该问题从系统的适当建模开始,其中包括与仪表变压器和pmu相关的不确定性。此外,所设计的算法利用了由网络模型导出的可用约束方程。在ieee14总线系统的一部分上进行了测试,结果证实了所提方法的有效性。
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
Microwave Quantification of Porosity Level in 3D Printed Polymers Fast Transient Harmonic Selective Extraction Based on Modulation-CDSC-SDFT A UWB-based localization system: analysis of the effect of anchor positions and robustness enhancement in indoor environments Miniaturised bidirectional acoustic tag to enhance marine animal tracking studies Overload Current Interruption Protection Method based on Tunnel Magnetoresistive Sensor Measurement
×
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