Research on single-phase grounding fault detection method based on vision transformer

Ting Wang; Guanhua Li; Shicong Sun; Ke Huang; Yiling Ma

doi:10.1117/12.2689620

10 August 2023 Research on single-phase grounding fault detection method based on vision transformer

Ting Wang, Guanhua Li, Shicong Sun, Ke Huang, Yiling Ma

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127484S (2023) https://doi.org/10.1117/12.2689620
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

In China's power distribution network, low-current grounding is mainly used. Single-phase ground fault is one of the most common faults in the low-current grounding mode. If effective measures are not taken in a timely manner when a single-phase ground fault occurs in the distribution network, it will pose a safety threat to pedestrians and inspection personnel. In serious cases, it can also affect the stable operation of the power grid system, cause power outages in other areas, and lead to even greater safety hazards. In order to detect the occurrence of single-phase ground faults in the lowcurrent grounding mode of the distribution network, this paper proposes a new single-phase ground fault detection method based on the vision transformer algorithm, combined with the steady-state characteristics of zero-sequence current. First, the zero-sequence current data of the line where the single-phase ground fault occurred is sampled. Secondly, the time-series zero-sequence current data is transformed into a two-dimensional image using the Gramian Angular Field (GAF) method. Finally, the transformed two-dimensional image is classified using the vision transformer algorithm to achieve the purpose of detecting the occurrence of single-phase ground faults. The algorithm was verified on an experimental platform, and the results show that the proposed algorithm can effectively detect single-phase ground faults in the low-current grounding mode of the distribution network.

Citation Download Citation

Ting Wang, Guanhua Li, Shicong Sun, Ke Huang, and Yiling Ma "Research on single-phase grounding fault detection method based on vision transformer", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127484S (10 August 2023); https://doi.org/10.1117/12.2689620

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Transformers

Matrices

Data modeling

Image classification

Visual process modeling

Data conversion

Education and training

Show All Keywords

Keywords/Phrases

Search In:

Publication Years