Subsynchronous Oscillation Source Location in Power System With High Penetration of Wind Power Using Multivariate Variational Mode Decomposition

Accurately and promptly extracting subsynchronous oscillation (SSO) components from measurements and locating SSO sources are crucial for SSO suppression. Existing transient energy flow (TEF) based SSO location methods suffer from low location accuracy and poor robustness. To cope with the shortcoming of the traditional TEF in SSO source location, This paper proposes a multivariate variational mode decomposition (MVMD) based SSO source location method to locate the SSO source from the measurements. Firstly, the multi-channel measurement matrix of each generator, including voltage and current measurements, is formed. Then, the multi-channel intrinsic mode functions (IMFs) are simultaneously decomposed from the formed multi-channel measurement matrix by using the MVMD approach, enabling the simultaneous decomposition of SSO components from measurements. Furthermore, the IMFs associated with the SSO mode are identified according to the Hilbert transform (HT). Using the identified IMFs, the MVMD-based TEF is calculated and the SSO source is located. Finally, the performance of the proposed method is evaluated using the simulation data of the modified 4-machine 11-bus test system and the field measurements from the Guyuan SSO event in the North China region. The results validate the accuracy and effectiveness of the proposed method in the SSO source location.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-04-15
DOI
https://doi.org/10.1109/tpwrs.2025.3560761
Citations
2
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

Subsynchronous Oscillation Source Location in Power System With High Penetration of Wind Power Using Multivariate Variational Mode Decomposition

Tao Jiang, Bohan Liu, Andrea Mazza, Enrico Pons et al.
2 citations
IEEE Transactions on Power Systems
Machine Fault Diagnosis Techniques
2.43
article

Subsynchronous Oscillation Source Location in Power System With High Penetration of Wind Power Using Multivariate Variational Mode Decomposition

Tao Jiang, Bohan Liu, Andrea Mazza, Enrico Pons, Tao Huang, Guoqing Li, Xue Li
article en
2 citations

Abstract

Accurately and promptly extracting subsynchronous oscillation (SSO) components from measurements and locating SSO sources are crucial for SSO suppression. Existing transient energy flow (TEF) based SSO location methods suffer from low location accuracy and poor robustness. To cope with the shortcoming of the traditional TEF in SSO source location, This paper proposes a multivariate variational mode decomposition (MVMD) based SSO source location method to locate the SSO source from the measurements. Firstly, the multi-channel measurement matrix of each generator, including voltage and current measurements, is formed. Then, the multi-channel intrinsic mode functions (IMFs) are simultaneously decomposed from the formed multi-channel measurement matrix by using the MVMD approach, enabling the simultaneous decomposition of SSO components from measurements. Furthermore, the IMFs associated with the SSO mode are identified according to the Hilbert transform (HT). Using the identified IMFs, the MVMD-based TEF is calculated and the SSO source is located. Finally, the performance of the proposed method is evaluated using the simulation data of the modified 4-machine 11-bus test system and the field measurements from the Guyuan SSO event in the North China region. The results validate the accuracy and effectiveness of the proposed method in the SSO source location.

IEEE Transactions on Power SystemsVol. 40(6)
Politecnico di Torino (IT), Northeast Electric Power University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 12%
Machine Fault Diagnosis Techniques
2.43
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