A new robust computational approach for the electric power system parameters

The state estimation (SE) is a fundamental data processing algorithm used by the control centers of modern power networks. The most widely used state estimator is rooted to the weighted least squares (WLS) estimator which is not sufficiently robust to the gross errors in the measurements. This paper...

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Main Authors: Khan, Z., Razali, R.B., Daud, H., Nor, N.M., Firuzabad, M.F., Krebs, K.L.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19607 /
Published: American Scientific Publishers 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021726390&doi=10.1166%2fjctn.2017.6485&partnerID=40&md5=ba3f99bcc71c4e13e6119c11e915a5f7
http://eprints.utp.edu.my/19607/
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spelling utp-eprints.196072018-04-20T07:14:48Z A new robust computational approach for the electric power system parameters Khan, Z. Razali, R.B. Daud, H. Nor, N.M. Firuzabad, M.F. Krebs, K.L. The state estimation (SE) is a fundamental data processing algorithm used by the control centers of modern power networks. The most widely used state estimator is rooted to the weighted least squares (WLS) estimator which is not sufficiently robust to the gross errors in the measurements. This paper, presents a new robust algorithm for power system SE environments. The proposed approach not only has the comparative performance of the conventional loss function based on the estimator of the WLS additionally, it also considers loss function based on the quasi weighted least squares (QWLS) estimator. The performance analysis is evaluated on the ability of the state estimator for reducing the effects of bad measurements on the estimation results. The properties of the proposed state estimator are analyzed and the robustness of the estimator has been shown in terms of the influence function. The effectiveness of the proposed estimator has been illustrated by case studies of the IEEE 30-bus and IEEE 57-bus test networks. The results presented also reveal that the proposed algorithm remarkably improves the non-robustness property associated with the conventional algorithm. © 2017 American Scientific Publishers All rights reserved. American Scientific Publishers 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021726390&doi=10.1166%2fjctn.2017.6485&partnerID=40&md5=ba3f99bcc71c4e13e6119c11e915a5f7 Khan, Z. and Razali, R.B. and Daud, H. and Nor, N.M. and Firuzabad, M.F. and Krebs, K.L. (2017) A new robust computational approach for the electric power system parameters. Journal of Computational and Theoretical Nanoscience, 14 (3). pp. 1613-1620. http://eprints.utp.edu.my/19607/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The state estimation (SE) is a fundamental data processing algorithm used by the control centers of modern power networks. The most widely used state estimator is rooted to the weighted least squares (WLS) estimator which is not sufficiently robust to the gross errors in the measurements. This paper, presents a new robust algorithm for power system SE environments. The proposed approach not only has the comparative performance of the conventional loss function based on the estimator of the WLS additionally, it also considers loss function based on the quasi weighted least squares (QWLS) estimator. The performance analysis is evaluated on the ability of the state estimator for reducing the effects of bad measurements on the estimation results. The properties of the proposed state estimator are analyzed and the robustness of the estimator has been shown in terms of the influence function. The effectiveness of the proposed estimator has been illustrated by case studies of the IEEE 30-bus and IEEE 57-bus test networks. The results presented also reveal that the proposed algorithm remarkably improves the non-robustness property associated with the conventional algorithm. © 2017 American Scientific Publishers All rights reserved.
format Article
author Khan, Z.
Razali, R.B.
Daud, H.
Nor, N.M.
Firuzabad, M.F.
Krebs, K.L.
spellingShingle Khan, Z.
Razali, R.B.
Daud, H.
Nor, N.M.
Firuzabad, M.F.
Krebs, K.L.
A new robust computational approach for the electric power system parameters
author_sort Khan, Z.
title A new robust computational approach for the electric power system parameters
title_short A new robust computational approach for the electric power system parameters
title_full A new robust computational approach for the electric power system parameters
title_fullStr A new robust computational approach for the electric power system parameters
title_full_unstemmed A new robust computational approach for the electric power system parameters
title_sort new robust computational approach for the electric power system parameters
publisher American Scientific Publishers
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021726390&doi=10.1166%2fjctn.2017.6485&partnerID=40&md5=ba3f99bcc71c4e13e6119c11e915a5f7
http://eprints.utp.edu.my/19607/
_version_ 1741196233992568832
score 11.62408

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