Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems
The most classical subsynchronous oscillation (SSO) mode extraction methods have some shortcomings, such as lower mode identification and poor anti-noise properties. Thus, this paper proposes a new time-frequency analysis method, namely, synchrosqueezed wavelet transforms (SWT). SWT combines the adv...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/11/6/1525 |
id |
doaj-d089744540614b939781fbe76ddd74a0 |
---|---|
record_format |
Article |
spelling |
doaj-d089744540614b939781fbe76ddd74a02020-11-24T21:35:14ZengMDPI AGEnergies1996-10732018-06-01116152510.3390/en11061525en11061525Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power SystemsYan Zhao0Haohan Cui1Hong Huo2Yonghui Nie3School of Power Transmission and Distribution Technology, Northeast Electric Power University, Jilin 132012, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin 132012, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin 132012, ChinaAcademic Administration Office, Northeast Electric Power University, Jilin 132012, ChinaThe most classical subsynchronous oscillation (SSO) mode extraction methods have some shortcomings, such as lower mode identification and poor anti-noise properties. Thus, this paper proposes a new time-frequency analysis method, namely, synchrosqueezed wavelet transforms (SWT). SWT combines the advantages of empirical mode decomposition (EMD) and wavelet, which has the adaptability of EMD, and improve the ability of anti-mode mixing on EMD and wavelet. Thus, better anti-noise property and higher mode identification can be achieved. Firstly, the SSO signal is transformed by SWT and its time-frequency spectrum is obtained. Secondly, the attenuation characteristic of each intrinsic mode type (IMT) component in its time-frequency spectrum is analyzed by an automatic identification algorithm, and determine which IMT component needs reconstruction. After that, the selected IMT components with divergent characteristic are reconstructed. Thirdly, high-accuracy detection for mode parameter identification is achieved by the Hilbert transform (HT). Simulation and application examples prove the effectiveness of the proposed method.http://www.mdpi.com/1996-1073/11/6/1525subsynchronous oscillation (SSO)time-frequency analysissynchrosqueezed wavelet transforms (SWT)Hilbert transform (HT) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Zhao Haohan Cui Hong Huo Yonghui Nie |
spellingShingle |
Yan Zhao Haohan Cui Hong Huo Yonghui Nie Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems Energies subsynchronous oscillation (SSO) time-frequency analysis synchrosqueezed wavelet transforms (SWT) Hilbert transform (HT) |
author_facet |
Yan Zhao Haohan Cui Hong Huo Yonghui Nie |
author_sort |
Yan Zhao |
title |
Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems |
title_short |
Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems |
title_full |
Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems |
title_fullStr |
Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems |
title_full_unstemmed |
Application of Synchrosqueezed Wavelet Transforms for Extraction of the Oscillatory Parameters of Subsynchronous Oscillation in Power Systems |
title_sort |
application of synchrosqueezed wavelet transforms for extraction of the oscillatory parameters of subsynchronous oscillation in power systems |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-06-01 |
description |
The most classical subsynchronous oscillation (SSO) mode extraction methods have some shortcomings, such as lower mode identification and poor anti-noise properties. Thus, this paper proposes a new time-frequency analysis method, namely, synchrosqueezed wavelet transforms (SWT). SWT combines the advantages of empirical mode decomposition (EMD) and wavelet, which has the adaptability of EMD, and improve the ability of anti-mode mixing on EMD and wavelet. Thus, better anti-noise property and higher mode identification can be achieved. Firstly, the SSO signal is transformed by SWT and its time-frequency spectrum is obtained. Secondly, the attenuation characteristic of each intrinsic mode type (IMT) component in its time-frequency spectrum is analyzed by an automatic identification algorithm, and determine which IMT component needs reconstruction. After that, the selected IMT components with divergent characteristic are reconstructed. Thirdly, high-accuracy detection for mode parameter identification is achieved by the Hilbert transform (HT). Simulation and application examples prove the effectiveness of the proposed method. |
topic |
subsynchronous oscillation (SSO) time-frequency analysis synchrosqueezed wavelet transforms (SWT) Hilbert transform (HT) |
url |
http://www.mdpi.com/1996-1073/11/6/1525 |
work_keys_str_mv |
AT yanzhao applicationofsynchrosqueezedwavelettransformsforextractionoftheoscillatoryparametersofsubsynchronousoscillationinpowersystems AT haohancui applicationofsynchrosqueezedwavelettransformsforextractionoftheoscillatoryparametersofsubsynchronousoscillationinpowersystems AT honghuo applicationofsynchrosqueezedwavelettransformsforextractionoftheoscillatoryparametersofsubsynchronousoscillationinpowersystems AT yonghuinie applicationofsynchrosqueezedwavelettransformsforextractionoftheoscillatoryparametersofsubsynchronousoscillationinpowersystems |
_version_ |
1725945846583787520 |