Adaptive Kalman filtering in computer relaying: fault classification using voltage models

Journal Article · Wed May 01 04:00:00 EDT 1985 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/TPAS.1985.323469· OSTI ID:5914964

Girgis, A A; Brown, R G

This paper describes a new probabilistic technique for fault classification to be used in digital distance protection of power systems. The new technique is based on an adaptive Kalman filter using voltage measurements. The voltage data of each phase is processed in two Kalman filter models simultaneously. One Kalman filter assumes the features of a faulted phase while the other has the features of an unfaulted phase. The condition of the phase, faulted or non-faulted, is then decided from the computed a posteriori probabilities. The new technique is tested on simulated data for all types of faults at different locations. The test results showed that the new technique converges very fast to the correct condition of the phase: faulted or unfaulted.

• Research Organization: North Carolina State University, Raleigh, NC
• OSTI ID: 5914964
• Journal Information: IEEE Trans. Power Appar. Syst.; (United States), Journal Name: IEEE Trans. Power Appar. Syst.; (United States) Vol. PAS-104:5; ISSN IEPSA
• Country of Publication: United States
• Language: English

Related Subjects

200300* -- Electric Power Engineering-- Power Transmission & Distribution-- (-1989)
24 POWER TRANSMISSION AND DISTRIBUTION
CLASSIFICATION
COMPUTERIZED CONTROL SYSTEMS
COMPUTERIZED SIMULATION
CONTROL SYSTEMS
DIGITAL FILTERS
ELECTRICAL EQUIPMENT
ELECTRICAL FAULTS
EQUIPMENT
EQUIPMENT PROTECTION DEVICES
LOAD ANALYSIS
MEASURING METHODS
POWER DISTRIBUTION SYSTEMS
PROBABILITY
RELAYS
SIMULATION