NDLI: Sweep frequency response analysis based diagnosis of shorts within transformer windings

Content Provider	IET Digital Library
Author	Rajamani, Rajesh Rajappa, Muthaiah Madanmohan, Balasubramanian
Abstract	Sweep frequency response analysis (SFRA) is a diagnostic technique which can identify faults within transformers. Though SFRA approaches are used to identify faults, their effectiveness in discriminating two same level faults at two different locations within transformer is not much analysed and reported. Experiments were carried out on a 1 kVA, single phase, 240 V/240 V laboratory transformers and on a 315 kVA, three phase, 11 kV/433 V, Dyn11, ONAN, distribution transformer, to analyse the usefulness of SFRA in inter turn short identification and discriminations. Faulty conditions were created artificially in transformers, by shorting the tappings provided in one of their windings, at different levels and locations. Open circuit self-impedance and transfer voltage transfer function approaches were experimented and transfer function plots representing winding impedance and voltage transfer ratios at various frequencies were developed for transformers, under normal and faulty conditions. Significant differences were identified at some frequencies while comparing normal case plots with faulty case plots. It was observed that the SFRA is effective in identifying shorts within transformer winding as well as, discriminating two same level shorts (i.e.) locating shorts. Statistical analysis using absolute difference and min–max ratio also confirmed the efficacy of these approaches.
Starting Page	4274
Ending Page	4281
Page Count	8
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 17, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0123
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-07-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apparent Power 1 KVA Apparent Power 315 KVA Dyn11 Distribution Transformer Fault Diagnosis Fault Identification Frequency Response Inter Turn Short Discriminations Inter Turn Short Identification Laboratory Transformer Min-max Ratio ONAN Distribution Transformer Open Circuit Self-impedance Power Transformer SFRA Statistical Analysis Sweep Frequency Response Analysis-based Diagnosis Transfer Function Plots Transfer Voltage Transfer Function Transformer And Reactors Transformer Windings Voltage 11 KV Voltage 240 V Voltage 433 V Voltage Transfer Ratios Winding Impedance
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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