An Inverse-Filter-Based Method to Locate Partial Discharge Sources in Power Transformers

Hamidreza Karami,Farhad Rachidi,Marcos Rubinstein,Farzane Askari,Wojciech Sikorski

doi:10.3390/en15061988

Abstract

Partial discharge (PD) occurrence in power transformers can lead to irreparable damage to the power network. In this paper, the inverse filter (IF) method to localize PDs in power transformers is proposed. To the best of the authors’ knowledge, this is the first time that the inverse filter method has been used to localize PD sources in the electromagnetic regime. The method comprises two phases: the forward phase and the backward or backpropagation phase. In the forward phase, the waveform emitted from the PD source is recorded with one or several sensors. In the backward phase, the recorded signal is transformed into the frequency domain, inverted, transformed back into the time domain, and then back injected into the medium. Finally, a suitable criterion is used to localize the PD source. The efficiency of the proposed IF method is assessed considering different scenarios. It is shown that, for the considered configurations, the proposed IF method outperforms the classical time-reversal technique.

Highlights

We propose using an inverse filter (IF)-based method to locate Partial discharge (PD), which consists of the following steps: Step 1
We investigate for the first time the use of the IF method to localize PD sources in power transformers in the electromagnetic regime
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Summary

Introduction

Diagnosing damage early in high-voltage equipment used in power systems has a vital role in the stability of the network. A PD is a localized electric discharge that occurs within the insulation of the medium and has different measurable physical properties such as charge movement, acoustic emission, EM radiation, and chemical reaction Based on these properties, PD signals can be detected by different techniques, including electrical, acoustic, ultra-high frequency (UHF) electromagnetic, optical, and chemical detection. PD signals can be detected by different techniques, including electrical, acoustic, ultra-high frequency (UHF) electromagnetic, optical, and chemical detection Some of these techniques can diagnose PDs on-site and monitor in-service equipment [4,5]. In [12–14], a 3D PD localization method has been proposed to locate PDs in power transformers based on TDoA. We investigate for the first time the use of the IF method to localize PD sources in power transformers in the electromagnetic regime.

Electromagnetic Inverse Filter Theory

CS#1: Transformer Tank Model without Windings

CS#2: Localization of a PD Source Close to a Metallic

CS#4: Localization of PD Source behind the Metallic

CS#5: Localization of a PD Source between the Metallic

Conclusions