Title :
Online identification of magnetizing inrush and internal faults in three-phase transformers
Author :
Sidhu, T.S. ; Sachdev, M.S.
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
fDate :
10/1/1992 12:00:00 AM
Abstract :
The authors present a microprocessor-based system for online identification of magnetizing inrush and internal fault conditions in three-phase transformers. The system uses a digital algorithm which is based on a transformer model and can be used irrespective of whether or not it is possible to measure winding currents. The only parameters needed by the algorithm are positive and negative sequence impedances of the transformer. These parameters are usually a part of the name-plate data. The proposed algorithm has been implemented on a Texas Instrument TMS320C25 digital signal processor. The hardware and software of the system are described. The ability of the system to identify magnetizing inrush and internal faults was tested by using a 15 kVA three-phase transformer. Some test results are reported
Keywords :
electric impedance; fault location; microcomputer applications; power engineering computing; power transformers; 15 kVA; Texas Instrument TMS320C25 digital signal processor; digital algorithm; hardware; internal fault conditions; magnetising inrush fault; microprocessor-based system; negative sequence impedances; online identification; positive sequence impedance; software; three-phase transformers; Current measurement; Digital signal processors; Fault diagnosis; Hardware; Impedance; Instruments; Phase transformers; Signal processing algorithms; Software systems; Surges;
Journal_Title :
Power Delivery, IEEE Transactions on