Research on Detection Method of Transformer Interturn Short Circuit Based on Wavelet Analysis

Abstract:

Distribution transformer is an important device in the power supply system, once its failure can cause power outages. According to statistics, 70% -80% of the transformer accident was caused by a short circuit between the transformer turns. Based on the large number of experimental data analysis and processing, a new inter-turn short circuit transformer diagnostic methods is proposed. In this paper, the ground current of transformer core as the signal source, Using wavelet multi-resolution technology the signal wavelet multiscale decomposition, the decomposition of different signals of the same scale, get the high frequency components of the signal, achieve short-circuit fault diagnosis between transformer winding turns by comparing the number of the high-frequency component contained in different signals in the decomposition of the same scale. To illustrate the effectiveness of the method, the paper through a series of experiments and data processing, verify the effectiveness and feasibility of the method.

• Periodical: Applied Mechanics and Materials (Volume 521)
• Pages: 358-361
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.521.358
• Online since: February 2014
• Authors: Yu Sheng Quan, Zong Cheng Zhang*, Guang Chen, Dai Juan Wang
• Keywords: High-Frequency Component, Inter-Turn Short Circuit, Multi-Scale Decomposition, Transformer, Wavelet Analysis

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