Estimating Dynamic Model Parameters for Adaptive Protection and Control in Power System
File(s)
Accepted version
Author(s)
Ariff, MAM
Pal, BC
Singh, AK
Type
Journal Article
Abstract
This paper presents a new approach in estimating important parameters of power system transient stability model such as inertia constant H and direct axis transient reactance x′d in real time. It uses a variation of unscented Kalman filter (UKF) on the phasor measurement unit (PMU) data. The accurate estimation of these parameters is very important for assessing the stability and tuning the adaptive protection system on power swing relays. The effectiveness of the method is demonstrated in a
simulated data from 16-machine 68-bus system model. The paper also presents the performance comparison between the UKF and EKF method in estimating the parameters. The robustness of method is further validated in the presence of noise that is likely to be in the PMU data in reality.
simulated data from 16-machine 68-bus system model. The paper also presents the performance comparison between the UKF and EKF method in estimating the parameters. The robustness of method is further validated in the presence of noise that is likely to be in the PMU data in reality.
Date Issued
2014-07-21
Citation
IEEE Transactions on Power Systems, 2014
ISSN
0885-8950
Journal / Book Title
IEEE Transactions on Power Systems
Copyright Statement
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
Power system dynamic model
parameters estimation,
unscented Kalman filter,
phasor measurement units
synchrophasors
Publication Status
Published
Coverage Spatial
USA