A New Approach for Transmission Line Parameter Estimation from Noisy PMU Data

F. P. de Albuquerque, Eduardo C. Marques Costa, L. Liboni, Ronaldo F. Ribeiro Pereira, M. D. de Oliveira
{"title":"A New Approach for Transmission Line Parameter Estimation from Noisy PMU Data","authors":"F. P. de Albuquerque, Eduardo C. Marques Costa, L. Liboni, Ronaldo F. Ribeiro Pereira, M. D. de Oliveira","doi":"10.1109/INDUSCON51756.2021.9529826","DOIUrl":null,"url":null,"abstract":"This paper presents a new approach to estimate transmission line parameters based on Phasor Measurement Units (PMUs) data. Such approach considers a new set of phasorial equations incorporating noise on the model and a solution based on the Minimum Variance Unbiased (MVU) estimator. We investigate the performance of the proposed method for different loads, noise conditions, and the number of samples. Our results showed that the proposed method has a good performance compared with the estimators present in the literature. Moreover, the solution has proved to be steady and predictable for all simulated conditions.","PeriodicalId":344476,"journal":{"name":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON51756.2021.9529826","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

This paper presents a new approach to estimate transmission line parameters based on Phasor Measurement Units (PMUs) data. Such approach considers a new set of phasorial equations incorporating noise on the model and a solution based on the Minimum Variance Unbiased (MVU) estimator. We investigate the performance of the proposed method for different loads, noise conditions, and the number of samples. Our results showed that the proposed method has a good performance compared with the estimators present in the literature. Moreover, the solution has proved to be steady and predictable for all simulated conditions.
一种利用PMU噪声数据估计输电线路参数的新方法
提出了一种基于相量测量单元(pmu)数据估计输电线路参数的新方法。该方法考虑了一组新的含噪声的相位方程和一种基于最小方差无偏估计的解。我们研究了该方法在不同负载、噪声条件和样本数量下的性能。结果表明,与现有文献中的估计器相比,该方法具有良好的性能。此外,该解决方案已被证明是稳定和可预测的所有模拟条件。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信