The evaluation of the confidence intervals for the state parameters of a DC power system

State estimation in power engineering is used as a tool to find the unknown parameter values from the hypothesized model by utilizing the specified information available about the system. Due to random noises that are added from different sources, the exact value of the state vector cannot be found....

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Main Authors: Khan, Z., Razalia, R., Daud, H., Norc, N.M., Firuzabad, M.F.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19766 /
Published: Medwell Journals 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030094884&doi=10.3923%2fjeasci.2017.4544.4550&partnerID=40&md5=823ab4c0780021f25914f0e9682dfeaf
http://eprints.utp.edu.my/19766/
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spelling utp-eprints.197662018-04-20T07:38:23Z The evaluation of the confidence intervals for the state parameters of a DC power system Khan, Z. Razalia, R. Daud, H. Norc, N.M. Firuzabad, M.F. State estimation in power engineering is used as a tool to find the unknown parameter values from the hypothesized model by utilizing the specified information available about the system. Due to random noises that are added from different sources, the exact value of the state vector cannot be found. This study is an effort to describe the simultaneous and individual confidence intervals for the state parameters in view of the heteroscedastic structure of the error terms. The performance of the constructed intervals in terms of coverage probability has been evaluated by using the Monte Carlo simulation study. The results of the study demonstrate that it is an effective method for practical implementation in the state estimation a power system. © Medwell Journals, 2017. Medwell Journals 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030094884&doi=10.3923%2fjeasci.2017.4544.4550&partnerID=40&md5=823ab4c0780021f25914f0e9682dfeaf Khan, Z. and Razalia, R. and Daud, H. and Norc, N.M. and Firuzabad, M.F. (2017) The evaluation of the confidence intervals for the state parameters of a DC power system. Journal of Engineering and Applied Sciences, 12 (18). pp. 4544-4550. http://eprints.utp.edu.my/19766/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description State estimation in power engineering is used as a tool to find the unknown parameter values from the hypothesized model by utilizing the specified information available about the system. Due to random noises that are added from different sources, the exact value of the state vector cannot be found. This study is an effort to describe the simultaneous and individual confidence intervals for the state parameters in view of the heteroscedastic structure of the error terms. The performance of the constructed intervals in terms of coverage probability has been evaluated by using the Monte Carlo simulation study. The results of the study demonstrate that it is an effective method for practical implementation in the state estimation a power system. © Medwell Journals, 2017.
format Article
author Khan, Z.
Razalia, R.
Daud, H.
Norc, N.M.
Firuzabad, M.F.
spellingShingle Khan, Z.
Razalia, R.
Daud, H.
Norc, N.M.
Firuzabad, M.F.
The evaluation of the confidence intervals for the state parameters of a DC power system
author_sort Khan, Z.
title The evaluation of the confidence intervals for the state parameters of a DC power system
title_short The evaluation of the confidence intervals for the state parameters of a DC power system
title_full The evaluation of the confidence intervals for the state parameters of a DC power system
title_fullStr The evaluation of the confidence intervals for the state parameters of a DC power system
title_full_unstemmed The evaluation of the confidence intervals for the state parameters of a DC power system
title_sort evaluation of the confidence intervals for the state parameters of a dc power system
publisher Medwell Journals
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030094884&doi=10.3923%2fjeasci.2017.4544.4550&partnerID=40&md5=823ab4c0780021f25914f0e9682dfeaf
http://eprints.utp.edu.my/19766/
_version_ 1741196259749789696
score 11.62408

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