基于DFT样本的电力系统频率相量联合估计算法

Luoyang Fang, R. Griffin, Dongliang Duan, Liuqing Yang
{"title":"基于DFT样本的电力系统频率相量联合估计算法","authors":"Luoyang Fang, R. Griffin, Dongliang Duan, Liuqing Yang","doi":"10.1109/GREENTECH.2013.86","DOIUrl":null,"url":null,"abstract":"Frequency and phasor are two important parameters for power system monitoring and operation. While most frequency and phasor estimation algorithms are developed separately and only work for complex-valued signals, we propose an iterative joint frequency and phasor estimation method for real-valued signals in power systems. Our proposed method is tested alongside existing algorithms using both numerically by simulations and the experimentally by OpenPMU system, an open source platform for synchronized PMU and smart grid research. The comparisons show that our proposed method not only beats existing single-task algorithms for steady-state signals but also tracks the transient signals with time-varying frequency very well.","PeriodicalId":311325,"journal":{"name":"2013 IEEE Green Technologies Conference (GreenTech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Joint Frequency and Phasor Estimation Algorithm Using DFT Samples for Power Systems\",\"authors\":\"Luoyang Fang, R. Griffin, Dongliang Duan, Liuqing Yang\",\"doi\":\"10.1109/GREENTECH.2013.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frequency and phasor are two important parameters for power system monitoring and operation. While most frequency and phasor estimation algorithms are developed separately and only work for complex-valued signals, we propose an iterative joint frequency and phasor estimation method for real-valued signals in power systems. Our proposed method is tested alongside existing algorithms using both numerically by simulations and the experimentally by OpenPMU system, an open source platform for synchronized PMU and smart grid research. The comparisons show that our proposed method not only beats existing single-task algorithms for steady-state signals but also tracks the transient signals with time-varying frequency very well.\",\"PeriodicalId\":311325,\"journal\":{\"name\":\"2013 IEEE Green Technologies Conference (GreenTech)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Green Technologies Conference (GreenTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENTECH.2013.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Green Technologies Conference (GreenTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENTECH.2013.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

频率和相量是电力系统监测和运行的两个重要参数。虽然大多数频率和相量估计算法是单独开发的,并且只适用于复值信号,但我们提出了一种针对电力系统中实值信号的迭代频率和相量联合估计方法。我们提出的方法与现有算法一起通过OpenPMU系统(一个用于同步PMU和智能电网研究的开源平台)进行了数值模拟和实验测试。对比结果表明,该方法不仅优于现有的稳态信号单任务算法,而且能很好地跟踪时变频率的暂态信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Joint Frequency and Phasor Estimation Algorithm Using DFT Samples for Power Systems
Frequency and phasor are two important parameters for power system monitoring and operation. While most frequency and phasor estimation algorithms are developed separately and only work for complex-valued signals, we propose an iterative joint frequency and phasor estimation method for real-valued signals in power systems. Our proposed method is tested alongside existing algorithms using both numerically by simulations and the experimentally by OpenPMU system, an open source platform for synchronized PMU and smart grid research. The comparisons show that our proposed method not only beats existing single-task algorithms for steady-state signals but also tracks the transient signals with time-varying frequency very well.
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:481959085
Book学术官方微信