Redundancy based PMU placement in state estimation

An alternative method to obtain a PMU placement with maximum measurement redundancy is proposed in this paper. By considering the number of branches adjacent to each bus, the proposed method can be formulated in a linear and compact way. The effectiveness of the proposed method is shown by comparing...

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Main Authors: Xia, Nan, Gooi, Hoay Beng, Chen, S. X., Wang, M. Q.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/97164
http://hdl.handle.net/10220/38516
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-971642020-03-07T14:02:46Z Redundancy based PMU placement in state estimation Xia, Nan Gooi, Hoay Beng Chen, S. X. Wang, M. Q. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems An alternative method to obtain a PMU placement with maximum measurement redundancy is proposed in this paper. By considering the number of branches adjacent to each bus, the proposed method can be formulated in a linear and compact way. The effectiveness of the proposed method is shown by comparing its results with those of the existing methods (Two-step Method and Quadratic Programming Method) under the IEEE 14-, 30-, 57- and 118-bus test systems. Different scenarios, such as normal condition, contingencies and consideration of zero-injection buses, are also discussed. Moreover, a post-processing optimization is presented to improve the redundancy distribution. After the optimization, the number of red-1 buses, i.e. buses which are made observable one time only by the measurements, is reduced. In this way the redundancy becomes more evenly distributed and the state estimation is more robust. The short execution time of the post-processing optimization and its effectiveness are verified by using various IEEE test systems. Accepted version 2015-08-25T06:50:49Z 2019-12-06T19:39:34Z 2015-08-25T06:50:49Z 2019-12-06T19:39:34Z 2015 2015 Journal Article Xia, N., Gooi, H. B., Chen, S. X., & Wang, M. Q. (2015). Redundancy based PMU placement in state estimation. Sustainable Energy, Grids and Networks, 2, 23-31. https://hdl.handle.net/10356/97164 http://hdl.handle.net/10220/38516 10.1016/j.segan.2015.03.002 en Sustainable energy, grids and networks © 2015 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Sustainable Energy, Grids and Networks, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.segan.2015.03.002]. 17 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Xia, Nan
Gooi, Hoay Beng
Chen, S. X.
Wang, M. Q.
Redundancy based PMU placement in state estimation
description An alternative method to obtain a PMU placement with maximum measurement redundancy is proposed in this paper. By considering the number of branches adjacent to each bus, the proposed method can be formulated in a linear and compact way. The effectiveness of the proposed method is shown by comparing its results with those of the existing methods (Two-step Method and Quadratic Programming Method) under the IEEE 14-, 30-, 57- and 118-bus test systems. Different scenarios, such as normal condition, contingencies and consideration of zero-injection buses, are also discussed. Moreover, a post-processing optimization is presented to improve the redundancy distribution. After the optimization, the number of red-1 buses, i.e. buses which are made observable one time only by the measurements, is reduced. In this way the redundancy becomes more evenly distributed and the state estimation is more robust. The short execution time of the post-processing optimization and its effectiveness are verified by using various IEEE test systems.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Xia, Nan
Gooi, Hoay Beng
Chen, S. X.
Wang, M. Q.
format Article
author Xia, Nan
Gooi, Hoay Beng
Chen, S. X.
Wang, M. Q.
author_sort Xia, Nan
title Redundancy based PMU placement in state estimation
title_short Redundancy based PMU placement in state estimation
title_full Redundancy based PMU placement in state estimation
title_fullStr Redundancy based PMU placement in state estimation
title_full_unstemmed Redundancy based PMU placement in state estimation
title_sort redundancy based pmu placement in state estimation
publishDate 2015
url https://hdl.handle.net/10356/97164
http://hdl.handle.net/10220/38516
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