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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2015
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| Online Access: | https://hdl.handle.net/10356/97164 http://hdl.handle.net/10220/38516 |
| _version_ | 1826122189868367872 |
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| author | Xia, Nan Gooi, Hoay Beng Chen, S. X. Wang, M. Q. |
| 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. |
| author_sort | Xia, Nan |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T05:44:25Z |
| format | Journal Article |
| id | ntu-10356/97164 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:44:25Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Redundancy based PMU placement in state estimation |
| title_sort | redundancy based pmu placement in state estimation |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | https://hdl.handle.net/10356/97164 http://hdl.handle.net/10220/38516 |
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