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Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy

The optimal Phasor Measurement Unit (PMU) placement problem in power systems has been considered and investigated by many researchers for accurate and fast state estimation by PMU. There is a problem that the current channel cost of the PMU affects the total placement cost. This paper proposes novel...

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Main Authors: Matsukawa, Yoshiaki, Watanabe, Masayuki, Mitani, Yasunori, Othman, Mohammad Lutfi
格式: Article
語言:English
出版: Wiley 2019
在線閱讀:http://psasir.upm.edu.my/id/eprint/81439/1/Multi-objective%20PMU%20placement%20optimization%20considering%20the%20placement%20cost%20including%20the%20current%20channel%20allocation%20and%20state%20estimation%20accuracy.pdf
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spelling oai:psasir.upm.edu.my:81439 http://psasir.upm.edu.my/id/eprint/81439/ Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy Matsukawa, Yoshiaki Watanabe, Masayuki Mitani, Yasunori Othman, Mohammad Lutfi The optimal Phasor Measurement Unit (PMU) placement problem in power systems has been considered and investigated by many researchers for accurate and fast state estimation by PMU. There is a problem that the current channel cost of the PMU affects the total placement cost. This paper proposes novel formulation in multi objective optimal PMU placement which minimizes the PMU placement cost with the current channel selection and the state estimation error. The current channel selection is represented as a decision variable in the optimization. For those trade-off objective functions, the Pareto approach by Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied in the optimization. The result of the numerical experiment in this paper demonstrates the advantage of considering the appropriate PMU current channel allocation, compared to the conventional method which ignores it, in the modified IEEE New England 39-bus test system. As a result, the proposed method obtained a better Pareto solution compared to the conventional one because of consideration for the current channel selection. The proposed PMU placement shows its advantage that it is able to reduce the total PMU placement cost while it keeps the state estimation accuracy. Wiley 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81439/1/Multi-objective%20PMU%20placement%20optimization%20considering%20the%20placement%20cost%20including%20the%20current%20channel%20allocation%20and%20state%20estimation%20accuracy.pdf Matsukawa, Yoshiaki and Watanabe, Masayuki and Mitani, Yasunori and Othman, Mohammad Lutfi (2019) Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy. Electrical Engineering in Japan, 207 (2). pp. 20-27. ISSN 1520-6416 https://onlinelibrary.wiley.com/doi/full/10.1002/eej.23208 10.1541/ieejpes.139.84
institution UPM IR
collection UPM IR
language English
description The optimal Phasor Measurement Unit (PMU) placement problem in power systems has been considered and investigated by many researchers for accurate and fast state estimation by PMU. There is a problem that the current channel cost of the PMU affects the total placement cost. This paper proposes novel formulation in multi objective optimal PMU placement which minimizes the PMU placement cost with the current channel selection and the state estimation error. The current channel selection is represented as a decision variable in the optimization. For those trade-off objective functions, the Pareto approach by Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied in the optimization. The result of the numerical experiment in this paper demonstrates the advantage of considering the appropriate PMU current channel allocation, compared to the conventional method which ignores it, in the modified IEEE New England 39-bus test system. As a result, the proposed method obtained a better Pareto solution compared to the conventional one because of consideration for the current channel selection. The proposed PMU placement shows its advantage that it is able to reduce the total PMU placement cost while it keeps the state estimation accuracy.
format Article
author Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
spellingShingle Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
author_facet Matsukawa, Yoshiaki
Watanabe, Masayuki
Mitani, Yasunori
Othman, Mohammad Lutfi
author_sort Matsukawa, Yoshiaki
title Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
title_short Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
title_full Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
title_fullStr Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
title_full_unstemmed Multi-objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
title_sort multi-objective pmu placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
publisher Wiley
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81439/1/Multi-objective%20PMU%20placement%20optimization%20considering%20the%20placement%20cost%20including%20the%20current%20channel%20allocation%20and%20state%20estimation%20accuracy.pdf
_version_ 1819299742474043392
score 13.4562235

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