VSC MT-HVDC Fault Identification Based on the VMD-TEO and Artificial Neural Network

Farkhani, Jalal S.; Çelık, Özgür; Ma, Kaiqi; Bak, Claus Leth; Chen, Zhe

doi:10.1109/pset59452.2023.10346558

2023 2nd International Conference on Power Systems and Electrical Technology (PSET) 2023

DOI: 10.1109/pset59452.2023.10346558

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VSC MT-HVDC Fault Identification Based on the VMD-TEO and Artificial Neural Network

Jalal S. Farkhani,

Özgür Çelık,

Kaiqi Ma

et al.

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Cited by 2 publications

References 16 publications

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A novel TQWT based protection and coordination scheme in multiterminal VSC HVDC systems

Sahebkar Farkhani,

Randewijk,

Roose

et al. 2025

Electric Power Systems Research

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A novel TQWT based protection and coordination scheme in multiterminal VSC HVDC systems

Sahebkar Farkhani,

Randewijk,

Roose

et al. 2025

Electric Power Systems Research

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A Fault Identification Method of Hybrid HVDC System Based on Wavelet Packet Energy Spectrum and CNN

Liang,

Zhang,

Shi

et al. 2024

Electronics

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Aiming at the shortcomings of traditional fault identification methods in fault information acquisition, In the scenario of hybrid HVDC transmission system, a new fault identification method is proposed by using wavelet packet energy spectrum and convolutional neural network (CNN), which effectively solves the problem of complex fault feature extraction of hybrid HVDC transmission system. This method effectively improves the accuracy of fault identification. Firstly, tThe frequency-domain characteristics of the fault transient signal are extracted by wavelet packet transform, and the feature differences are reflected in the form of energy spectrum. Secondly, according to the extracted energy feature information, the order of fault line and fault type is identified by CNN. Finally, through example verification and algorithm comparison, it is concluded that, the mentioned model has a strong ability to identify faults, and has strong anti-noise interference and tolerance to transition resistance.

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VSC MT-HVDC Fault Identification Based on the VMD-TEO and Artificial Neural Network

Cited by 2 publications

References 16 publications

A novel TQWT based protection and coordination scheme in multiterminal VSC HVDC systems

A novel TQWT based protection and coordination scheme in multiterminal VSC HVDC systems

A Fault Identification Method of Hybrid HVDC System Based on Wavelet Packet Energy Spectrum and CNN

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