IEEE Access (Jan 2024)

Research on Transformer Partial Discharge Fault Location Based on Improved UCA-RB-MUSIC Algorithm

  • Yanling Lv,
  • Kexian Ai,
  • Feng Guo

DOI
https://doi.org/10.1109/ACCESS.2024.3354707
Journal volume & issue
Vol. 12
pp. 16299 – 16309

Abstract

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Aiming at the problem that the coherent signal cannot be estimated when the traditional UCA-RB-MUSIC algorithm is used to detect the partial discharge of the transformer, an improved UCA-RB-MUSIC algorithm is suggested to reconstruct the signals captured by the array so that the number of calls sources is equivalent to the rank of the reconstructed signal matrix. The impact of correlated signals is eradicated. The results of simulation analysis and experimental verification show that when the improved UCA-RB-MUSIC algorithm is used to locate a single and double partial discharge source, the improved positioning error is only half of the mistake before improvement, which enhances the accuracy and resolution of uniform circular array positioning and the accuracy of transformer partial discharge detection.

Keywords