Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 9, 2024


Pages


DOI

Article

Partial Discharge Type Identification of SF6 Gas Insulation Based on Crossover Features and Transformer Models


Authors

Zekun Cui Affiliation:
Hengshui Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Hengshui, Hebei, 053000, China.
, Minglei Wei Affiliation:
State Grid Hebei Electric Power Co., Ltd., Shijiazhuang, Hebei, 050000, China.
, Bing Gao Affiliation:
Hengshui Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Hengshui, Hebei, 053000, China.
and Kang Zhang Affiliation:
Hengshui Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Hengshui, Hebei, 053000, China.


Abstract

In order to effectively identify the type of partial discharge of SF6 gas-insulated switchgear combinations and then to ensure the safe and stable operation of the equipment, a method for identifying the type of SF6 gas-insulated partial discharge based on crossover frequency features and the transformer model is proposed. First, four types of SF6 gas-insulated partial discharge signals are gathered. These are then broken down into their modal components using variational modal decomposition. The energy moments of each crossover signal are then calculated to find the crossover frequency characteristics. Finally, the Transformer model is used to identify the types of SF6 gas-insulated partial discharge signals. The experimental results show that the proposed method can effectively recognize different partial discharge types of SF6 gas insulation, and the recognition accuracy is as high as 99%, which verifies the validity and superiority of the proposed method of recognizing partial discharge types of SF6 gas insulation.


Keywords

Partial discharge signal, Variational modal decomposition, Crossover frequency characteristics, Transformer model, SF6 gas insulation, 68T05


Citation

Cui, Z., Wei, M., Gao, B., & Zhang, K. (2024). Partial discharge type identification of SF6 gas insulation based on crossover features and transformer models. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2850

Published by: Engineering Journals

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