Induced voltages ratio-based algorithm for fault detection, and faulted phase and winding identification of a three-winding power transformer

Byung Eun Lee, Jung Wook Park, Peter A. Crossley, Yong Cheol Kang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This paper proposes an algorithm for fault detection, faulted phase and winding identification of a three-winding power transformer based on the induced voltages in the electrical power system. The ratio of the induced voltages of the primary-secondary, primary-tertiary and secondary-tertiary windings is the same as the corresponding turns ratio during normal operating conditions, magnetic inrush, and over-excitation. It differs from the turns ratio during an internal fault. For a single phase and a three-phase power transformer with wye-connected windings, the induced voltages of each pair of windings are estimated. For a three-phase power transformer with delta-connected windings, the induced voltage differences are estimated to use the line currents, because the delta winding currents are practically unavailable. Six detectors are suggested for fault detection. An additional three detectors and a rule for faulted phase and winding identification are presented as well. The proposed algorithm can not only detect an internal fault, but also identify the faulted phase and winding of a three-winding power transformer. The various test results with Electromagnetic Transients Program (EMTP)-generated data show that the proposed algorithm successfully discriminates internal faults from normal operating conditions including magnetic inrush and over-excitation. This paper concludes by implementing the algorithm into a prototype relay based on a digital signal processor.

Original languageEnglish
Pages (from-to)6031-6049
Number of pages19
JournalEnergies
Volume7
Issue number9
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Power Transformer
Power transformers
Fault Detection
Fault detection
Voltage
Electric potential
Fault
Internal
Excitation
Detector
Detectors
Digital Signal Processor
Digital signal processors
Power System
Relay
Prototype

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

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abstract = "This paper proposes an algorithm for fault detection, faulted phase and winding identification of a three-winding power transformer based on the induced voltages in the electrical power system. The ratio of the induced voltages of the primary-secondary, primary-tertiary and secondary-tertiary windings is the same as the corresponding turns ratio during normal operating conditions, magnetic inrush, and over-excitation. It differs from the turns ratio during an internal fault. For a single phase and a three-phase power transformer with wye-connected windings, the induced voltages of each pair of windings are estimated. For a three-phase power transformer with delta-connected windings, the induced voltage differences are estimated to use the line currents, because the delta winding currents are practically unavailable. Six detectors are suggested for fault detection. An additional three detectors and a rule for faulted phase and winding identification are presented as well. The proposed algorithm can not only detect an internal fault, but also identify the faulted phase and winding of a three-winding power transformer. The various test results with Electromagnetic Transients Program (EMTP)-generated data show that the proposed algorithm successfully discriminates internal faults from normal operating conditions including magnetic inrush and over-excitation. This paper concludes by implementing the algorithm into a prototype relay based on a digital signal processor.",
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Induced voltages ratio-based algorithm for fault detection, and faulted phase and winding identification of a three-winding power transformer. / Lee, Byung Eun; Park, Jung Wook; Crossley, Peter A.; Kang, Yong Cheol.

In: Energies, Vol. 7, No. 9, 01.01.2014, p. 6031-6049.

Research output: Contribution to journalArticle

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