NDLI: Observability in the state estimation of power systems

Content Provider	IEEE Xplore Digital Library
Author	Fetzer, E.E. Anderson, P.M.
Copyright Year	1963
Abstract	Power system static state estimators usually employ more measurements than the minimum number necessary to completely define the state of the system. This paper solves the problem of determining the best measurement to add to a given set. This is done by showing that the poorest observability is in the direction of the eigenvector associated with the smallest eigenvalue of an observability matrix. Added new measurements in this direction are shown to improve observability and the best possible observability is shown to be where all the eigenvalues of the observability matrix are equal. The addition of measurements for determining the static state of a power system should improve observability. The technique for applying this concept to a power system is illustrated by a numerical example. The observability matrix and the smallest eigenvalues are found and the measurement to be added is determined by examining the components of the associated eigenvector. The improvement of this measurement over any other is verified by use of the Kalman filter.
Starting Page	1981
Ending Page	1988
Page Count	8
File Size	643549
File Format	PDF
ISSN	00189510
Volume Number	94
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1975-11-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observability State estimation Power systems Pollution measurement Power system measurements Eigenvalues and eigenfunctions Equations Noise measurement Power measurement Particle measurements
Content Type	Text
Resource Type	Article
Subject	Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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