分布级同步量估计

Kapil Chauhan, Ranjana Sodhi
{"title":"分布级同步量估计","authors":"Kapil Chauhan, Ranjana Sodhi","doi":"10.1109/NPSC.2018.8771750","DOIUrl":null,"url":null,"abstract":"Various time domain, frequency domain and time-frequency domain methods have been used in literature for the accurate phasor estimation in transmission-level PMUs. This paper assesses the suitability of three such methods, viz., Taylor Weighted Least Square (TWLS), Interpolated Discrete Fourier Transform (IpDFT) and Empirical Wavelet Transform (EWT), for developing the distribution-level PMU under steady state and dynamic conditions, as per the IEEE C37.118.1a-2014. The analysis is considered for fast phasor estimation by considering one cycle observation window. The Total Vector Error (TVE) and response time are chosen as performance metric. It is shown that time-domain and frequency-domain methods, although have less estimation error in case of fundamental phasor estimation and comply with PMU Std. IEEE C37.118.1a-2014, except low order harmonics and out of band interference case. However, in order to estimate the harmonics along with the fundamental phasors, time-frequency based method should be the preferred choice for implementing the D-PMUs. The additional advantage of EWT is to localize the dynamics of the signal in time-frequency plane.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Distribution-Level Synchrophasors Estimation\",\"authors\":\"Kapil Chauhan, Ranjana Sodhi\",\"doi\":\"10.1109/NPSC.2018.8771750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various time domain, frequency domain and time-frequency domain methods have been used in literature for the accurate phasor estimation in transmission-level PMUs. This paper assesses the suitability of three such methods, viz., Taylor Weighted Least Square (TWLS), Interpolated Discrete Fourier Transform (IpDFT) and Empirical Wavelet Transform (EWT), for developing the distribution-level PMU under steady state and dynamic conditions, as per the IEEE C37.118.1a-2014. The analysis is considered for fast phasor estimation by considering one cycle observation window. The Total Vector Error (TVE) and response time are chosen as performance metric. It is shown that time-domain and frequency-domain methods, although have less estimation error in case of fundamental phasor estimation and comply with PMU Std. IEEE C37.118.1a-2014, except low order harmonics and out of band interference case. However, in order to estimate the harmonics along with the fundamental phasors, time-frequency based method should be the preferred choice for implementing the D-PMUs. The additional advantage of EWT is to localize the dynamics of the signal in time-frequency plane.\",\"PeriodicalId\":185930,\"journal\":{\"name\":\"2018 20th National Power Systems Conference (NPSC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 20th National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC.2018.8771750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 20th National Power Systems Conference (NPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPSC.2018.8771750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

文献中已经使用了各种时域、频域和时频域方法来精确估计传输级pmu的相量。根据IEEE C37.118.1a-2014,本文评估了Taylor加权最小二乘(TWLS)、插值离散傅立叶变换(IpDFT)和经验小波变换(EWT)三种方法在稳态和动态条件下开发配电级PMU的适用性。考虑了单周期观测窗口的快速相量估计分析。选择总矢量误差(TVE)和响应时间作为性能度量。结果表明,除了低阶谐波和带外干扰情况外,时域和频域方法在基相量估计情况下的估计误差较小,符合PMU标准IEEE C37.118.1a-2014。然而,为了估计谐波和基相量,基于时频的方法应该是实现d - pmu的首选方法。小波变换的另一个优点是可以在时频平面上对信号的动态进行局部化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution-Level Synchrophasors Estimation
Various time domain, frequency domain and time-frequency domain methods have been used in literature for the accurate phasor estimation in transmission-level PMUs. This paper assesses the suitability of three such methods, viz., Taylor Weighted Least Square (TWLS), Interpolated Discrete Fourier Transform (IpDFT) and Empirical Wavelet Transform (EWT), for developing the distribution-level PMU under steady state and dynamic conditions, as per the IEEE C37.118.1a-2014. The analysis is considered for fast phasor estimation by considering one cycle observation window. The Total Vector Error (TVE) and response time are chosen as performance metric. It is shown that time-domain and frequency-domain methods, although have less estimation error in case of fundamental phasor estimation and comply with PMU Std. IEEE C37.118.1a-2014, except low order harmonics and out of band interference case. However, in order to estimate the harmonics along with the fundamental phasors, time-frequency based method should be the preferred choice for implementing the D-PMUs. The additional advantage of EWT is to localize the dynamics of the signal in time-frequency plane.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信