Electronic Science and Technology ›› 2023, Vol. 36 ›› Issue (11): 41-46.doi: 10.16180/j.cnki.issn1007-7820.2023.11.007

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Research on Internal Positioning of Transformer Partial Discharge Ultrasound Based on Whale Algorithm

QIAN Dingdong,SONG Ke,WANG Wei   

  1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2022-06-27 Online:2023-11-15 Published:2023-11-20
  • Supported by:
    National Natural Science Foundation of China(51577063)

Abstract:

The partial discharge caused by the insulation defect of the transformer winding endangers the safe operation of the power supply system, and the current detection of partial discharge is greatly affected by factors such as electromagnetic interference and sensor arrangement. Therefore, this study proposes an arrangement of built-in sensors at the transformer inspection port, and uses the whale optimization algorithm (WOA) to estimate the location of partial discharge points. By establishing a three-phase transformer winding model through COMSOL, the propagation law of ultrasonic waves in the transformer winding is simulated and analyzed, and the time delay information required by the WOA algorithm for positioning is obtained. The simulation results show that for the partial discharge points of the B-phase high and low voltage windings, the layout of the asymmetric quadrilateral array using the WOA algorithm has a smaller positioning error than the symmetrical quadrilateral array, and the average error is 3.9 cm. Additionally, for A-phase, two built-in detection points at the mouth can effectively locate the partial discharge point, and the average error is 5.1 cm. The obtained results can provide a certain reference value for the partial discharge positioning of the on-site transformer.

Key words: whale algorithm, ultrasonic positioning, partial discharge, ultrasonic built-in detection, transformer partial discharge, finite element method, WOA, PD source location

CLC Number: 

  • TN912