Identification Method for Wideband Oscillation Parameters Caused by Grid-Forming Renewable Energy Sources Based on Multiple Matching Synchrosqueezing Transformation

The oscillation problem has emerged as one of the critical challenges confronting emerging power systems, particularly with the increasing penetration of grid-forming renewable energy sources. This trend can lead to the coexistence of multiple oscillation modes across a wide frequency range. To enhance the safety and stability of power systems, this paper proposes a wideband oscillation parameter identification method based on the multiple matching synchrosqueezing transform (MMSST), addressing the limitations of traditional time–frequency analysis techniques in accurately separating and extracting oscillation components during wideband parameter identification. The method first applies MMSST to decompose the measured oscillation signal into a set of intrinsic mode functions (IMFs). Subsequently, the Hilbert transform is applied to each IMF to extract the instantaneous frequency, amplitude, and initial phase, thereby achieving precise parameter identification of the oscillation signal. The validation study results demonstrate that the MMSST algorithm outperforms the empirical mode decomposition (EMD) and variational mode decomposition (VMD) algorithms in accurately extracting individual oscillation components and estimating their dynamic characteristics. Additionally, the proposed method achieves superior performance in terms of both accuracy and robustness when compared to the EMD and VMD algorithms.

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Publication Details

Journal
Energies
Published
2025-09-26
DOI
https://doi.org/10.3390/en18195123
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification Method for Wideband Oscillation Parameters Caused by Grid-Forming Renewable Energy Sources Based on Multiple Matching Synchrosqueezing Transformation

Shunfan He, Ming Zhang, Ping Xiong, Lie Li et al.
Energies
Machine Fault Diagnosis Techniques
article

Identification Method for Wideband Oscillation Parameters Caused by Grid-Forming Renewable Energy Sources Based on Multiple Matching Synchrosqueezing Transformation

Shunfan He, Ming Zhang, Ping Xiong, Lie Li, Yifan Zhao, Xiaoqian Zhu, Yu Sun
article en

Abstract

The oscillation problem has emerged as one of the critical challenges confronting emerging power systems, particularly with the increasing penetration of grid-forming renewable energy sources. This trend can lead to the coexistence of multiple oscillation modes across a wide frequency range. To enhance the safety and stability of power systems, this paper proposes a wideband oscillation parameter identification method based on the multiple matching synchrosqueezing transform (MMSST), addressing the limitations of traditional time–frequency analysis techniques in accurately separating and extracting oscillation components during wideband parameter identification. The method first applies MMSST to decompose the measured oscillation signal into a set of intrinsic mode functions (IMFs). Subsequently, the Hilbert transform is applied to each IMF to extract the instantaneous frequency, amplitude, and initial phase, thereby achieving precise parameter identification of the oscillation signal. The validation study results demonstrate that the MMSST algorithm outperforms the empirical mode decomposition (EMD) and variational mode decomposition (VMD) algorithms in accurately extracting individual oscillation components and estimating their dynamic characteristics. Additionally, the proposed method achieves superior performance in terms of both accuracy and robustness when compared to the EMD and VMD algorithms.

EnergiesVol. 18(19)
Minzu University of China (CN), Wuhan Textile University (CN), Ministry of Agriculture (CA), Hubei University of Technology (CN)
Natural Science Foundation of Hubei Province
Openalex Percentile: Top 67%
Machine Fault Diagnosis Techniques
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