Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions

This paper presents a new efficient computation technique for robust power system state estimation based on weighted least absolute value (WLAV) criterion. The proposed method employs rectangular form of state variables and equivalent measurements technique in order to obtain the linear measurement...

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Main Authors: Rakpenthai C., Uatrongjit S., Ngamroo I., Watson N.R.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-80054716519&partnerID=40&md5=26f8aa0487da5497df1474ef7f99b858
http://cmuir.cmu.ac.th/handle/6653943832/1540
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-15402014-08-29T09:29:26Z Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions Rakpenthai C. Uatrongjit S. Ngamroo I. Watson N.R. This paper presents a new efficient computation technique for robust power system state estimation based on weighted least absolute value (WLAV) criterion. The proposed method employs rectangular form of state variables and equivalent measurements technique in order to obtain the linear measurement functions with linear constraints of state variables. The state estimation problem is then formulated as an optimization problem with a set of equality and inequality constraints. A solution method based on interior point algorithm is also proposed. Tests with several IEEE standard systems have been performed to investigate the performance of the proposed algorithm. Results indicate that the proposed state estimator gives promising performance compared with weighted least square (WLS) based estimation algorithms using state variables in polar forms. © 2011 Institute of Electrical Engineers of Japan. 2014-08-29T09:29:26Z 2014-08-29T09:29:26Z 2011 Article 19314973 10.1002/tee.20692 http://www.scopus.com/inward/record.url?eid=2-s2.0-80054716519&partnerID=40&md5=26f8aa0487da5497df1474ef7f99b858 http://cmuir.cmu.ac.th/handle/6653943832/1540 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description This paper presents a new efficient computation technique for robust power system state estimation based on weighted least absolute value (WLAV) criterion. The proposed method employs rectangular form of state variables and equivalent measurements technique in order to obtain the linear measurement functions with linear constraints of state variables. The state estimation problem is then formulated as an optimization problem with a set of equality and inequality constraints. A solution method based on interior point algorithm is also proposed. Tests with several IEEE standard systems have been performed to investigate the performance of the proposed algorithm. Results indicate that the proposed state estimator gives promising performance compared with weighted least square (WLS) based estimation algorithms using state variables in polar forms. © 2011 Institute of Electrical Engineers of Japan.
format Article
author Rakpenthai C.
Uatrongjit S.
Ngamroo I.
Watson N.R.
spellingShingle Rakpenthai C.
Uatrongjit S.
Ngamroo I.
Watson N.R.
Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
author_facet Rakpenthai C.
Uatrongjit S.
Ngamroo I.
Watson N.R.
author_sort Rakpenthai C.
title Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
title_short Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
title_full Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
title_fullStr Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
title_full_unstemmed Weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
title_sort weighted least absolute value power system state estimation using rectangular coordinates and equivalent measurement functions
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-80054716519&partnerID=40&md5=26f8aa0487da5497df1474ef7f99b858
http://cmuir.cmu.ac.th/handle/6653943832/1540
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