Measurement placement for power system state estimation using decomposition technique

This paper applies the concept of distributed processing to the problem of measurement placement for power system state estimation. The proposed method uses the minimum condition number of the measurement matrix as a criterion in conjunction with sequential elimination to reach the near optimal plac...

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Main Authors: Chawasak Rakpenthai, Suttichai Premrudeepreechacharn, Sermsak Uatrongjit, Neville R. Watson
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/62188
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-621882018-09-11T09:23:42Z Measurement placement for power system state estimation using decomposition technique Chawasak Rakpenthai Suttichai Premrudeepreechacharn Sermsak Uatrongjit Neville R. Watson Energy Engineering This paper applies the concept of distributed processing to the problem of measurement placement for power system state estimation. The proposed method uses the minimum condition number of the measurement matrix as a criterion in conjunction with sequential elimination to reach the near optimal placement positions. Firstly, the entire network of the power system is decomposed into smaller sub-networks. Then, in each sub-network, the optimal positions for measurement placement are determined by using the minimum condition number criteria. A heuristic algorithm for reducing the number of placement sites is also presented in order to minimize the communication costs. The numerical experimental results on the IEEE 14, 30, and 118 bus systems indicate that the proposed technique will provide a measurement matrix with smaller condition number and the computation time is much shorter than the non-decomposition approach. © 2005 Elsevier B.V. All rights reserved. 2018-09-11T09:23:20Z 2018-09-11T09:23:20Z 2005-07-01 Journal 03787796 2-s2.0-18844402374 10.1016/j.epsr.2005.01.002 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844402374&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62188
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
Engineering
spellingShingle Energy
Engineering
Chawasak Rakpenthai
Suttichai Premrudeepreechacharn
Sermsak Uatrongjit
Neville R. Watson
Measurement placement for power system state estimation using decomposition technique
description This paper applies the concept of distributed processing to the problem of measurement placement for power system state estimation. The proposed method uses the minimum condition number of the measurement matrix as a criterion in conjunction with sequential elimination to reach the near optimal placement positions. Firstly, the entire network of the power system is decomposed into smaller sub-networks. Then, in each sub-network, the optimal positions for measurement placement are determined by using the minimum condition number criteria. A heuristic algorithm for reducing the number of placement sites is also presented in order to minimize the communication costs. The numerical experimental results on the IEEE 14, 30, and 118 bus systems indicate that the proposed technique will provide a measurement matrix with smaller condition number and the computation time is much shorter than the non-decomposition approach. © 2005 Elsevier B.V. All rights reserved.
format Journal
author Chawasak Rakpenthai
Suttichai Premrudeepreechacharn
Sermsak Uatrongjit
Neville R. Watson
author_facet Chawasak Rakpenthai
Suttichai Premrudeepreechacharn
Sermsak Uatrongjit
Neville R. Watson
author_sort Chawasak Rakpenthai
title Measurement placement for power system state estimation using decomposition technique
title_short Measurement placement for power system state estimation using decomposition technique
title_full Measurement placement for power system state estimation using decomposition technique
title_fullStr Measurement placement for power system state estimation using decomposition technique
title_full_unstemmed Measurement placement for power system state estimation using decomposition technique
title_sort measurement placement for power system state estimation using decomposition technique
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844402374&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62188
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