Paper Info
Title
Experimental Evaluation of Transformer Internal Fault Detection Based on V – I Characteristics
Abstract
Winding deformation is a common problem that takes place within operating power transformers due to various internal and external conditions. Due to their progressive nature, winding deformations should be detected and rectified as soon as they emerge. Unfortunately, the only reliable technique to detect such faults at this stage is the frequency response analysis which is conducted offline. This has motivated researchers to propose alternative techniques to detect power transformer incipient winding and core deformations in real time. One of the promising online techniques proposed in the literature is the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</italic> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</italic> Lissajous pattern method. While this technique was validated through simulation analysis, its feasibility for practical applications has not been explored yet. This paper takes a further step toward the field implementation of this technique through practical measurements on a custom-made transformer to assess its sensitivity, repeatability, and antinoise capability. Also, a new compensation approach is proposed to eliminate the effect of the transformer loading variation on the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</italic> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</italic> Lissajous pattern. For the practical application of this technique, a hardware setup has been developed and installed to monitor the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</italic> – <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</italic> characteristics of an operating power transformer within a 220-kV substation in real time.
Year
DOI
Venue
2020
10.1109/TIE.2019.2917368
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Power transformers,Windings,Strain,Reliability,Frequency measurement,Frequency response,Real-time systems
Journal
67
Issue
ISSN
Citations 
5
0278-0046
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Xiaozhen Zhao100.34
Chenguo Yao2137.43
Zehong Zhou300.34
Chengxiang Li422.39
Xianmin Wang500.34
Tianyu Zhu600.34
Ahmed Abu-Siada777.84