A fast fault classification technique for power systems

Nouri, Hassan; Wang, Chun

Abstract

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.

• 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
• DOI: https://doi.org/10.15662/ijareeie.2014.0311065
• Keywords: fault classification, fourier transforms, least squares method, Kalman filter
• Public URL: https://uwe-repository.worktribe.com/output/808529
• Publisher URL: http://dx.doi.org/10.15662/ijareeie.2014.0311065
• Additional Information: Corporate Creators : Power Systems, Electronics and Control Research Lab
• Contract Date: Feb 20, 2016