NDLI: Application of Kalman Filtering in Computer Relaying

Content Provider	IEEE Xplore Digital Library
Author	Girgis, A.A. Brown, R.G.
Copyright Year	1963
Abstract	During the first cycle following a power system fault, a high speed computer relay has to make a decision usually based on the 60 Hz information, which is badly corrupted by noise. The noise in this case is the nonfundamental frequency components in the transient current or voltage, as the case may be. For research and development purposes of computer relaying techniques, the precise nature of the noise signal is required. The autocorrelation function and variance of the noise signal was obtained based on the frequency of occurrence of the different types of faults, and the probability distribution of fault location. A new technique for modelling the signal and the measurements is developed based on Kalman Filtering theory for the optimal estimation of the 60 Hz information. The results indicate that the technique converges to the true 60 Hz quanitities faster than other algorithms that have been used. The new technique also has the lowest computer burden among recently published algorithms and appears to be within the state of the art of current microcomputer technology.
Starting Page	3387
Ending Page	3397
Page Count	11
File Size	2922685
File Format	PDF
ISSN	00189510
Volume Number	PAS-100
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1981-07-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Application software Kalman filters Filtering Relays Power system relaying Frequency Power system faults Power system transients Voltage Research and development
Content Type	Text
Resource Type	Article
Subject	Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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