Published July 2010 | Version v1
Journal article

Identification of the most sensitive frequency response measurement technique for diagnosis of interturn faults in power transformers

  • 1. Center of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Narmak 16846, Tehran (Iran, Islamic Republic of)
  • 2. Institute of Electric Power Systems, High Voltage Engineering Section (Schering-Institute), Leibniz Universität Hannover, Callinstr. 25 A, D-30167 Hanover (Germany)

Description

Interturn winding faults are one of the most prevalent and potentially destructive electrical faults in power transformers. This contribution is an initiative to explore the potential of the sweep frequency response analysis (SFRA) method in detecting interturn winding faults and also identifying the most appropriate measurement configuration for making sensitive frequency response measurements. This application enables timely warning of the rising failure and so is of particular importance, as these kinds of defects, if left undetected, can propagate and lead to catastrophic phase–ground or phase–phase faults which can finally cause the breakdown of the whole transformer. In this paper contribution is made to a better understanding of the transformer performance and modification of the transformer winding frequency response in the presence of interturn faults. The paper includes a full description of the details of the SFRA method and measuring procedure, along with principal experiments conducted on a 100 kVA distribution transformer. A large number of measurements with different transfer functions, various terminal configurations and three categories of measurement types was conducted to identify the most appropriate configuration for making SFRA measurements. The experimental results proved that the identified measurement configuration is sensitive to detect unambiguously interturn faults even down to 0.2% shorted turns along the winding

Availability note (English)

Available from http://dx.doi.org/10.1088/0957-0233/21/7/075106

Additional details

Identifiers

DOI
10.1088/0957-0233/21/7/075106;
PII
S0957-0233(10)49961-0;

Publishing Information

Journal Title
Measurement Science and Technology
Journal Volume
21
Journal Issue
7
Journal Page Range
[14 p.]
ISSN
0957-0233
CODEN
MSTCEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45007664
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION;
Descriptors DEI
BREAKDOWN; CONFIGURATION; DIAGNOSIS; ELECTRICAL FAULTS; FAILURES; POWER TRANSMISSION; POWER TRANSMISSION LINES; TRANSFORMERS
Descriptors DEC
ELECTRICAL EQUIPMENT; EQUIPMENT