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A fast fault classification technique for power systems

Nouri, Hassan; Wang, Chun

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Hassan Nouri
Reader in Electrical Power and Energy

Chun Wang


This paper proposes a fast fault classification technique using three phase current signals for power systems. Digital Fourier Transform, the ‘Least Square’ method or the Kalman Filtering technique are used to extract fundamental frequency components of three phase fault currents. Fast fault classification can be achieved using the fault probability of three phases. Results from simulation work on EMTP have validated the proposed fault classification technique. The response time of the fault classification technique using the ‘Least Squares’ method is 1.875ms (3 samples) for single-phase-to-earth fault, two-phase-to-earth fault, two-phase-fault and three-phase fault.


Nouri, H., & Wang, C. (2014). A fast fault classification technique for power systems.

Journal Article Type Article
Publication Date Nov 1, 2014
Deposit Date Oct 19, 2015
Publicly Available Date Feb 20, 2016
Journal International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Print ISSN 2320-3765
Peer Reviewed Peer Reviewed
Volume 3
Issue 11
Pages 13064-13071
Keywords fault classification, fourier transforms, least squares method, Kalman filter
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Additional Information Corporate Creators : Power Systems, Electronics and Control Research Lab


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