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 in real time. It uses a variation of unscented Kalman filter (UKF) on the phasor measurement unit (PMU) data. The accurate es...

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Main Authors: Mohd Ariff, Mohd Aifaa, Abhinav, Kumar Singh, Bikash, Chandra Pa
Format: Article
Language:English
Published: IEEE 2015
Subjects:
Online Access:http://eprints.uthm.edu.my/4506/
http://eprints.uthm.edu.my/4506/1/AJ%202015%20%283%29.pdf
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author Mohd Ariff, Mohd Aifaa
Abhinav, Kumar Singh
Bikash, Chandra Pa
author_facet Mohd Ariff, Mohd Aifaa
Abhinav, Kumar Singh
Bikash, Chandra Pa
author_sort Mohd Ariff, Mohd Aifaa
building UTHM Institutional Repository
collection Online Access
description 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 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.
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publishDate 2015
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spelling uthm-45062021-12-07T04:29:55Z http://eprints.uthm.edu.my/4506/ Estimating dynamic model parameters for adaptive protection and control in power system Mohd Ariff, Mohd Aifaa Abhinav, Kumar Singh Bikash, Chandra Pa T Technology (General) TK1001-1841 Production of electric energy or power. Powerplants. Central stations 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 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. IEEE 2015 Article PeerReviewed text en http://eprints.uthm.edu.my/4506/1/AJ%202015%20%283%29.pdf Mohd Ariff, Mohd Aifaa and Abhinav, Kumar Singh and Bikash, Chandra Pa (2015) Estimating dynamic model parameters for adaptive protection and control in power system. IEEE Transactions On Power Systems, 30 (2). pp. 829-839. ISSN 1558-0679 http://dx.doi.org/10.1109/TPWRS.2014.2331317
spellingShingle T Technology (General)
TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Mohd Ariff, Mohd Aifaa
Abhinav, Kumar Singh
Bikash, Chandra Pa
Estimating dynamic model parameters for adaptive protection and control in power system
title Estimating dynamic model parameters for adaptive protection and control in power system
title_full Estimating dynamic model parameters for adaptive protection and control in power system
title_fullStr Estimating dynamic model parameters for adaptive protection and control in power system
title_full_unstemmed Estimating dynamic model parameters for adaptive protection and control in power system
title_short Estimating dynamic model parameters for adaptive protection and control in power system
title_sort estimating dynamic model parameters for adaptive protection and control in power system
topic T Technology (General)
TK1001-1841 Production of electric energy or power. Powerplants. Central stations
url http://eprints.uthm.edu.my/4506/
http://eprints.uthm.edu.my/4506/
http://eprints.uthm.edu.my/4506/1/AJ%202015%20%283%29.pdf