Startseite Fault detection method of digital three-dimensional substation based on singular value decomposition
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Fault detection method of digital three-dimensional substation based on singular value decomposition

  • Guoyun Song , Zhengzhong Hou , Runqing Bai , Jing Chai , Pei Liu ORCID logo EMAIL logo und Ye Yuan
Veröffentlicht/Copyright: 18. August 2022

Abstract

In the process of operation and maintenance of digital three-dimensional substation, affected by the fault feature extraction method, the anti-interference ability of the detection method is poor. Therefore, a digital three-dimensional substation fault detection method based on singular value decomposition is proposed. According to the digital twin five-dimensional concept, a three-dimensional management and control model of the substation is built, the real-time collected current signal is denoised, and then a new feature extraction method is designed by using the singular value decomposition theory, and the characteristic parameters of the fault signal are defined. Finally, the maximum wavelet singular value is calculated by combining the wavelet transformation method and the singular value decomposition principle. The fault detection is completed according to the mutation of singular value. The simulation experiment results show that the proposed fault detection method has improved the anti-interference ability by 44 and 86%. It is verified that the method proposed in this study has good fault detection effect, and provides auxiliary decision-making basis for relevant departments.


Corresponding author: Pei Liu, The State Grid Gansu EHV Company, Lanzhou, Gansu, 730070, China, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2022-03-23
Accepted: 2022-07-18
Published Online: 2022-08-18

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Heruntergeladen am 11.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2022-0079/html
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