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}
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.