Measurement-based solution for low frequency oscillation analysis
This paper presents a measurement-based solution for low frequency oscillation (LFO) analysis in both real time monitoring and off-line case study. An online LFO property discrimination method is developed first, which alternately uses empirical mode decomposition (EMD)/Hilbert transform (HT) and sq...
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Online Access: | https://ieeexplore.ieee.org/document/8939538/ |
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doaj-eb6eab0533624f4aa44f736a273120cd2021-04-23T16:13:27ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202016-01-014340641310.1007/s40565-016-0200-08939538Measurement-based solution for low frequency oscillation analysisChen Shen0Zhi An1Xianzhong Dai2Wei Wei3Lijie Ding4State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University,Beijing,ChinaState Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University,Beijing,ChinaState Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University,Beijing,ChinaElectric Power Research Institute of Sichuan Electric Power Company,Chengdu,ChinaElectric Power Research Institute of Sichuan Electric Power Company,Chengdu,ChinaThis paper presents a measurement-based solution for low frequency oscillation (LFO) analysis in both real time monitoring and off-line case study. An online LFO property discrimination method is developed first, which alternately uses empirical mode decomposition (EMD)/Hilbert transform (HT) and square calculation to process the measurement data. The method magnifies the variation trend of oscillating variables to accurately discriminate the property of the oscillation. Subsequently, an oscillation source locating method for the forced oscillation (FO) and a strongly correlated generator identification method for the weak damping oscillation (WDO) are proposed. Finally, numerical study results on a test system of the isolated Changdu grid in Tibet validate the proposed methods.https://ieeexplore.ieee.org/document/8939538/Low frequency oscillationOscillation property discriminationOscillation source locationStrongly correlated generator identification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chen Shen Zhi An Xianzhong Dai Wei Wei Lijie Ding |
spellingShingle |
Chen Shen Zhi An Xianzhong Dai Wei Wei Lijie Ding Measurement-based solution for low frequency oscillation analysis Journal of Modern Power Systems and Clean Energy Low frequency oscillation Oscillation property discrimination Oscillation source location Strongly correlated generator identification |
author_facet |
Chen Shen Zhi An Xianzhong Dai Wei Wei Lijie Ding |
author_sort |
Chen Shen |
title |
Measurement-based solution for low frequency oscillation analysis |
title_short |
Measurement-based solution for low frequency oscillation analysis |
title_full |
Measurement-based solution for low frequency oscillation analysis |
title_fullStr |
Measurement-based solution for low frequency oscillation analysis |
title_full_unstemmed |
Measurement-based solution for low frequency oscillation analysis |
title_sort |
measurement-based solution for low frequency oscillation analysis |
publisher |
IEEE |
series |
Journal of Modern Power Systems and Clean Energy |
issn |
2196-5420 |
publishDate |
2016-01-01 |
description |
This paper presents a measurement-based solution for low frequency oscillation (LFO) analysis in both real time monitoring and off-line case study. An online LFO property discrimination method is developed first, which alternately uses empirical mode decomposition (EMD)/Hilbert transform (HT) and square calculation to process the measurement data. The method magnifies the variation trend of oscillating variables to accurately discriminate the property of the oscillation. Subsequently, an oscillation source locating method for the forced oscillation (FO) and a strongly correlated generator identification method for the weak damping oscillation (WDO) are proposed. Finally, numerical study results on a test system of the isolated Changdu grid in Tibet validate the proposed methods. |
topic |
Low frequency oscillation Oscillation property discrimination Oscillation source location Strongly correlated generator identification |
url |
https://ieeexplore.ieee.org/document/8939538/ |
work_keys_str_mv |
AT chenshen measurementbasedsolutionforlowfrequencyoscillationanalysis AT zhian measurementbasedsolutionforlowfrequencyoscillationanalysis AT xianzhongdai measurementbasedsolutionforlowfrequencyoscillationanalysis AT weiwei measurementbasedsolutionforlowfrequencyoscillationanalysis AT lijieding measurementbasedsolutionforlowfrequencyoscillationanalysis |
_version_ |
1721512480792903680 |