A Fast Fault Classification Technique forPower Systems

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

H. Nouri¹  C. Wang¹ 

[1] Electronics and Control Research Laboratory

关键词: Fault classification;    Fourier transforms;    least squares method;    Kalman filter;   

DOI  :  10.15662/ijareeie.2014.0311065

来源: Research & Reviews

【 摘 要 】

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.

【 授权许可】

Unknown