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Two-phase optimal PMU placement considering complete topological observability level for single line contingency

In order to monitor constantly power systems states, the accurate monitoring technique by Phasor Measurement Unit (PMU) has drawn attention. The use of the PMU as a meter in state estimation for constant understanding the power system state will improve the estimation accuracy and the computational...

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Main Authors: Matsukawa, Yoshiaki, Watanabe, Masayuki, Mitani, Yasunori, Othman, Mohammad Lutfi
Format: Conference or Workshop Item
Language:English
Published: 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64390/1/ENG%20%26%20New%20Tech%20Oral%20111117%2036.pdf
http://psasir.upm.edu.my/id/eprint/64390/
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spelling my.upm.eprints.643902018-07-05T09:25:23Z http://psasir.upm.edu.my/id/eprint/64390/ Two-phase optimal PMU placement considering complete topological observability level for single line contingency Matsukawa, Yoshiaki Watanabe, Masayuki Mitani, Yasunori Othman, Mohammad Lutfi In order to monitor constantly power systems states, the accurate monitoring technique by Phasor Measurement Unit (PMU) has drawn attention. The use of the PMU as a meter in state estimation for constant understanding the power system state will improve the estimation accuracy and the computational burden. However, the number and the location of installed PMUs that realize topological observability for state estimation have to be optimized because of the economic perspective. Furthermore, the PMU measurement network redundancy for a single line contingency in a power system needs to be taken into account. Hence, this research proposes an optimal PMU placement by a two-phase optimization method. The first phase strategy minimizes the number of placed PMUs and the second phase strategy maximizes a PMU measurement redundancy index called Complete Topological Observability Level (CTOL) for a single line contingency. Improving the CTOL means that the PMU placement has higher possibility to carry out state estimation by complete topological observability. Because of the problem characteristics, Mutation and Reposition Binary Particle Swarm Optimization (MRBPSO) for the first phase, and Simulated Annealing (SA) for the second phase are applied to solve the problem. As a result of optimization, the suboptimal solution in the second phase is improved compared to the first one in each parametric constraint in example power systems of IEEE 57-bus and RTS-96. 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64390/1/ENG%20%26%20New%20Tech%20Oral%20111117%2036.pdf Matsukawa, Yoshiaki and Watanabe, Masayuki and Mitani, Yasunori and Othman, Mohammad Lutfi (2017) Two-phase optimal PMU placement considering complete topological observability level for single line contingency. In: 5th International Symposium on Applied Engineering and Sciences (SAES2017), 14-15 Nov. 2017, Universiti Putra Malaysia. (p. 36).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In order to monitor constantly power systems states, the accurate monitoring technique by Phasor Measurement Unit (PMU) has drawn attention. The use of the PMU as a meter in state estimation for constant understanding the power system state will improve the estimation accuracy and the computational burden. However, the number and the location of installed PMUs that realize topological observability for state estimation have to be optimized because of the economic perspective. Furthermore, the PMU measurement network redundancy for a single line contingency in a power system needs to be taken into account. Hence, this research proposes an optimal PMU placement by a two-phase optimization method. The first phase strategy minimizes the number of placed PMUs and the second phase strategy maximizes a PMU measurement redundancy index called Complete Topological Observability Level (CTOL) for a single line contingency. Improving the CTOL means that the PMU placement has higher possibility to carry out state estimation by complete topological observability. Because of the problem characteristics, Mutation and Reposition Binary Particle Swarm Optimization (MRBPSO) for the first phase, and Simulated Annealing (SA) for the second phase are applied to solve the problem. As a result of optimization, the suboptimal solution in the second phase is improved compared to the first one in each parametric constraint in example power systems of IEEE 57-bus and RTS-96.
format Conference or Workshop Item
author Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
spellingShingle Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
Two-phase optimal PMU placement considering complete topological observability level for single line contingency
author_facet Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
author_sort Matsukawa, Yoshiaki
title Two-phase optimal PMU placement considering complete topological observability level for single line contingency
title_short Two-phase optimal PMU placement considering complete topological observability level for single line contingency
title_full Two-phase optimal PMU placement considering complete topological observability level for single line contingency
title_fullStr Two-phase optimal PMU placement considering complete topological observability level for single line contingency
title_full_unstemmed Two-phase optimal PMU placement considering complete topological observability level for single line contingency
title_sort two-phase optimal pmu placement considering complete topological observability level for single line contingency
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/64390/1/ENG%20%26%20New%20Tech%20Oral%20111117%2036.pdf
http://psasir.upm.edu.my/id/eprint/64390/
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score 13.211869

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