Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method

Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method

The paper presents a multiaspect analysis of multivalues and the broadband nature of system oscillation. By analyzing the ambient signal caused by random small disturbances during the normal operation of interconnected power grids, many system operation characteristics can be obtained. The tradition...

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Main Authors: Fang Liu, Sisi Lin, Chonggang Chen, Kangzhi Liu, Runmin Zou, Denis Sidorov
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
modal identification
ambient signal
low-frequency oscillation
broadband oscillation
IA-VMD method
Online Access:https://www.mdpi.com/2076-3417/11/2/530
id doaj-4f3df576c0094a6d96c909018e527618
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spelling doaj-4f3df576c0094a6d96c909018e5276182021-01-08T00:03:37ZengMDPI AGApplied Sciences2076-34172021-01-011153053010.3390/app11020530Identification of Mode Shapes Based on Ambient Signals and the IA-VMD MethodFang Liu0Sisi Lin1Chonggang Chen2Kangzhi Liu3Runmin Zou4Denis Sidorov5School of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaDepartment of Electrical and Electronic Engineering, Chiba University, Chiba 2638522, JapanSchool of Automation, Central South University, Changsha 410083, ChinaEnergy Systems Institute, Russian Academy of Sciences, 664033 Irkutsk, RussiaThe paper presents a multiaspect analysis of multivalues and the broadband nature of system oscillation. By analyzing the ambient signal caused by random small disturbances during the normal operation of interconnected power grids, many system operation characteristics can be obtained. The traditional signal processing method cannot extract the information from ambient signals effectively. Aiming at the problem of broadband oscillation mode superposition and the difficulty of extracting information from ambient signals, an iterative adaptive variational mode decomposition (IA-VMD) method is proposed based on frequency domain analysis and signal energy. Additionally, the IA-VMD method, combined with a bandpass filter and the Prony algorithm, is used to realize the modal identification of broadband oscillation and ambient signals. Simulation experiments show that the IA-VMD method has good adaptability, antinoise characteristics, and a certain significant engineering application value as well.https://www.mdpi.com/2076-3417/11/2/530modal identificationambient signallow-frequency oscillationbroadband oscillationIA-VMD method
collection DOAJ
language English
format Article
sources DOAJ
author Fang Liu
Sisi Lin
Chonggang Chen
Kangzhi Liu
Runmin Zou
Denis Sidorov
spellingShingle Fang Liu
Sisi Lin
Chonggang Chen
Kangzhi Liu
Runmin Zou
Denis Sidorov
Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
Applied Sciences
modal identification
ambient signal
low-frequency oscillation
broadband oscillation
IA-VMD method
author_facet Fang Liu
Sisi Lin
Chonggang Chen
Kangzhi Liu
Runmin Zou
Denis Sidorov
author_sort Fang Liu
title Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
title_short Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
title_full Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
title_fullStr Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
title_full_unstemmed Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method
title_sort identification of mode shapes based on ambient signals and the ia-vmd method
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-01-01
description The paper presents a multiaspect analysis of multivalues and the broadband nature of system oscillation. By analyzing the ambient signal caused by random small disturbances during the normal operation of interconnected power grids, many system operation characteristics can be obtained. The traditional signal processing method cannot extract the information from ambient signals effectively. Aiming at the problem of broadband oscillation mode superposition and the difficulty of extracting information from ambient signals, an iterative adaptive variational mode decomposition (IA-VMD) method is proposed based on frequency domain analysis and signal energy. Additionally, the IA-VMD method, combined with a bandpass filter and the Prony algorithm, is used to realize the modal identification of broadband oscillation and ambient signals. Simulation experiments show that the IA-VMD method has good adaptability, antinoise characteristics, and a certain significant engineering application value as well.
topic modal identification
ambient signal
low-frequency oscillation
broadband oscillation
IA-VMD method
url https://www.mdpi.com/2076-3417/11/2/530
work_keys_str_mv AT fangliu identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
AT sisilin identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
AT chonggangchen identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
AT kangzhiliu identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
AT runminzou identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
AT denissidorov identificationofmodeshapesbasedonambientsignalsandtheiavmdmethod
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