Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements
MetadataShow full item record
This paper investigates the performance of a recently proposed on-line transformer winding short circuit fault detection approach through detailed nonlinear three-dimensional finite element modelling of windings, magnetic core and transformer tank. The technique considers correlation of instantaneous input and output voltage difference Δ V=(v1(t)-v2(t)) and instantaneous input current I=i(t) at the power frequency as a fingerprint of the transformer. The on-line measured ΔV-I locus of healthy and faulty transformer are compared to detect the internal fault. A detailed three-dimensional finite element transformer models based on the physical dimensions, parameters and magnetic core characteristics are developed and used to emulate internal winding short circuit faults and calculate the corresponding transformer ΔV-I locus. Detailed simulations and some laboratory measurements are performed and analysed to investigate the impact of winding short circuit faults on the on-line transformer ΔV-I locus.
Showing items related by title, author, creator and subject.
Application of online impulse technique to diagnose inter-turn short circuit in transformer windingsMohseni, B.; Hashemnia, N.; Islam, Syed; Zhao, Z. (2016)Inter-turn short circuit fault is a significant problem in power transformers which if not detected at early stages, can propagate in power networks and eventually burgeon into catastrophic faults and substantial costs. ...
Finite-Element Performance Evaluation of On-Line Transformer Internal Fault Detection Based on Instantaneous Voltage and Current MeasurementsMasoum, A.; Hashemnia, Naser; Abu Siada, Ahmed; Masoum, Mohammad; Islam, S. (2013)This paper investigates the performance of a recently proposed online transformer internal fault detection technique through detailed non-linear three-dimensional finite element modelling of the windings, magnetic core ...
Aljohani, O.; Abu-Siada, Ahmed (2015)The majority of mechanical deformation within power transformers is due to short circuit faults. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical ...