A novel method for ultra-high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm

authored by

Hasan Reza Mirzaei, Asghar Akbari, Ernst Gockenbach, Mojtaba Zanjani, Karim Miralikhani

Abstract

Nowadays, the localization of partial discharge (PD) in power transformers by measurement of ultra-high-frequency (UHF) electromagnetic (EM) waves from a PD source is receiving more attention. This method is based on comparing the differences in the arrival times, to antennas in the transformer, of EM waves emitted from the PD source. From the measured UHF signal, and factoring in the influence of the transformer active part on the EM wave propagation, the correct determination of an EM wave arrival time in the localization algorithm is a critical task that influences the accuracy of the UHF PD localization method. Nearly all weak points in the dielectric system of power transformers generate PD. These discharges gradually degrade the insulation, leading to transformer failure. It is possible to detect these defects in the early stages of PD generation by measuring and analyzing the PD data. Suitable maintenance and repair strategies can then be implemented.

Organisation(s)

High Voltage Engineering and Asset Management Section (Schering Institute)

External Organisation(s)

K.N. Toosi University of Technology (KNTU)
Iran Transfo Corporation

Type

Article

Journal

IEEE Electrical Insulation Magazine

Volume

29

Pages

26-39

No. of pages

14

ISSN

0883-7554

Publication date

08.02.2013

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering

Electronic version(s)

https://doi.org/10.1109/MEI.2013.6457597 (Access: Closed)