DocumentCode :
1558954
Title :
Dynamic state estimation of power system harmonics using Kalman filter methodology
Author :
Beides, Husam M. ; Heydt, G.T.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
6
Issue :
4
fYear :
1991
fDate :
10/1/1991 12:00:00 AM
Firstpage :
1663
Lastpage :
1670
Abstract :
A Kalman filter is used to obtain the optimal estimate of the power system harmonic content. The measurements are simulated by adding Gaussian noise to the power system voltage and line flows at different harmonies obtained from a harmonic load flow program (HARMFLO). The effect of load variation over a one day cycle on the power system harmonics and standard are presented. The test results on the IEEE 14 bus system are included. The main difference in this approach from static estimation methods is that this method is dynamic and has the capability of tracking harmonic content versus time
Keywords :
Kalman filters; harmonics; load flow; power systems; state estimation; Gaussian noise; HARMFLO; IEEE 14 bus system; Kalman filter methodology; dynamic state estimation; harmonic load flow program; power system harmonics; Fluid flow measurement; Gaussian noise; Kalman filters; Noise measurement; Power harmonic filters; Power measurement; Power system dynamics; Power system harmonics; Power system simulation; State estimation;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.97705
Filename :
97705
Link To Document :
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