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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Main Authors: Chen Shen, Zhi An, Xianzhong Dai, Wei Wei, Lijie Ding
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8939538/
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spelling 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
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