Estimating dynamic model parameters for adaptive protection and control in power system
Estimating dynamic model parameters for adaptive protection and control in power system
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.
Measurement-based, parameters estimation, phasor measurement units, power system dynamic model, synchrophasors, unscented Kalman filter
829-839
Ariff, M. A.M.
27899676-85d3-43e4-af4f-98e4a206338b
Pal, B. C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Singh, A. K.
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
1 March 2015
Ariff, M. A.M.
27899676-85d3-43e4-af4f-98e4a206338b
Pal, B. C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Singh, A. K.
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Ariff, M. A.M., Pal, B. C. and Singh, A. K.
(2015)
Estimating dynamic model parameters for adaptive protection and control in power system.
IEEE Transactions on Power Systems, 30 (2), , [6861457].
(doi:10.1109/TPWRS.2014.2331317).
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.
Text
06861457
- Version of Record
More information
Accepted/In Press date: 14 June 2014
e-pub ahead of print date: 21 July 2014
Published date: 1 March 2015
Keywords:
Measurement-based, parameters estimation, phasor measurement units, power system dynamic model, synchrophasors, unscented Kalman filter
Identifiers
Local EPrints ID: 431015
URI: http://eprints.soton.ac.uk/id/eprint/431015
ISSN: 0885-8950
PURE UUID: 584bf46f-a872-4782-8b3d-a7ee82c991c8
Catalogue record
Date deposited: 21 May 2019 16:30
Last modified: 16 Mar 2024 04:40
Export record
Altmetrics
Contributors
Author:
M. A.M. Ariff
Author:
B. C. Pal
Author:
A. K. Singh
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics