Abstract

The high voltage power transformer is the critical element of the power system, which requires continuous monitoring to prevent sudden catastrophic failures and to ensure an uninterrupted power supply. The most common failures in the transformer are due to partial discharge (PD) in electrical insulations which are the results of the insulation degradation over time. Different approaches have been proposed to monitor, detect, and locate the partial discharge in power transformers. This paper reviews and evaluates the current state-of-the-art methods for PD detection and localization techniques, and methodologies in power transformers. Detailed comparisons of PD detection techniques have been identified and discussed in this paper. The drawbacks and challenges of different partial discharge measurement techniques have been elaborated. Finally, brief reviews of PD denoising signals, feature extraction of PD signals, and classification of partial discharge sources have been addressed.

Highlights

  • The power transformers are the utmost fundamental part of the power system utilities [1]

  • partial discharge (PD) pattern data can be portrayed by vector dimension depending on the number of input features and perform decently in the complications related to non-linearity, lesser sample magnitude, and large dimensions [163]

  • This paper enumerates the comprehensive survey of modern techniques for PD signal analysis of power transformers

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Summary

INTRODUCTION

The power transformers are the utmost fundamental part of the power system utilities [1]. Several common online condition monitoring techniques are used These include dissolved gas analysis (DGA) [16], [17], partial discharge measurement [18], power factor measurement [19], frequency response analysis (FRA) [11], vibration and acoustic analysis [20], dielectric spectroscopy [21], differential protection [22], transformation ratio [23], and insulation resistance [24]. X-ray emission from PD source is being researched for detection testing due to the advantage of bypassing the complex geometry of the power transformer

COMBINATIONAL METHOD
PD DENOISING TECHNIQUES IN POWER TRANSFORMER
FEATURE EXTRACTION OF POWER TRANSFORMER
Findings
CONCLUSION
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