Empirical Wavelet Transform Based Method for Identification and Analysis of Sub-synchronous Oscillation Modes Using PMU Data

doi:10.35833/MPCE.2023.000047

Home > Archive>Volume 12, Issue 1, 2024 >34-40. DOI:10.35833/MPCE.2023.000047

DOI:

10.35833/MPCE.2023.000047

Author:

Philip Joice G.
Philip Joice G.
the Department of Energy Systems Research, Ajou University, Suwon, South Korea
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Jung Jaesung
Jung Jaesung
the Department of Energy Systems Research, Ajou University, Suwon, South Korea
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Onen Ahmet
Onen Ahmet
the Department of Electrical and Electronic Engineering, Abdullah Gul University, Kayseri, 38080, Turkey, and he is also with;the Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Al-Khoud, Muscat, Oman
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Affiliation:

1.Department of Energy Systems Research, Ajou University, Suwon, South Korea
2.Department of Electrical and Electronic Engineering, Abdullah Gul University, Kayseri, 38080, Turkey
3.Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Al-Khoud, Muscat, Oman

Fund Project:

This work was supported by Korea Electric Power Corporation (No. R21XO01-38) and Korea Ministry of Environment (MOE) as Graduate School specialized in Climate Change.

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Abstract:

This paper proposes an empirical wavelet transform (EWT) based method for identification and analysis of sub-synchronous oscillation (SSO) modes in the power system using phasor measurement unit (PMU) data. The phasors from PMUs are preprocessed to check for the presence of oscillations. If the presence is established, the signal is decomposed using EWT and the parameters of the mono-components are estimated through Yoshida algorithm. The superiority of the proposed method is tested using test signals with known parameters and simulated using actual SSO signals from the Hami Power Grid in Northwest China. Results show the effectiveness of the proposed EWT-Yoshida method in detecting the SSO and estimating its parameters.

Key words:Empirical wavelet transform (EWT) ; sub-synchronous oscillation ; Prony-based method ; Yoshida algorithm ; variational mode decomposition ; phasor measurement unit (PMU).

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Received:January 28,2023
Revised:June 13,2023
Adopted:
Online: January 22,2024
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