Back to Search Start Over

Search Coil Based Online Diagnostics of Transformer Internal Faults.

Authors :
Venikar, Prasad Arvind
Ballal, Makarand Sudhakar
Umre, Bhimrao Sitaram
Suryawanshi, Hiralal Murlidhar
Source :
IEEE Transactions on Power Delivery; Dec2017, Vol. 32 Issue 6, p2520-2529, 10p
Publication Year :
2017

Abstract

An online approach based on application of search coil for transformer winding fault detection is presented in this paper. Earlier attempts report use of search coil for the detection of transformer interturn fault. This paper extends application of search coil for detection of winding displacement in addition to interturn fault identification. Experimental results based on specially designed 10-kVA transformer are presented to analyze search coil voltages during healthy and faulty conditions. The algorithm detects phase ($U$ , $V$, $W$), side (LV, HV), and precise location of the fault. Discrimination between interturn fault and winding radial displacement is also achieved by search coil voltage analysis. The results are experimentally verified based on impedance analyzer plots. Experimental analysis indicates that the proposed method is independent of load on the transformer, vector group, nature of winding, balanced or unbalanced source voltage, source voltage harmonics, inrush, and overexcitation conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858977
Volume :
32
Issue :
6
Database :
Complementary Index
Journal :
IEEE Transactions on Power Delivery
Publication Type :
Academic Journal
Accession number :
125719542
Full Text :
https://doi.org/10.1109/TPWRD.2017.2682083