Reliably optimal PMU placement using disparity evolution-based genetic algorithm
Phasor Measurement Units (PMUs) are an important component in Wide Area Protection (WAP)- based operations in power systems. It is needed that a certain placement scheme of PMUs is suggested if power system scale gets larger. The optimal placement of PMU in power systems has been considered and form...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55825/ http://psasir.upm.edu.my/id/eprint/55825/1/12-JTS%28S%29-0088-2016-4thProof.pdf |
| _version_ | 1848852910651211776 |
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| author | Matsukawa, Yoshiaki Othman, Mohammad Lutfi Watanabe, Masayuki Mitani, Yasunori |
| author_facet | Matsukawa, Yoshiaki Othman, Mohammad Lutfi Watanabe, Masayuki Mitani, Yasunori |
| author_sort | Matsukawa, Yoshiaki |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Phasor Measurement Units (PMUs) are an important component in Wide Area Protection (WAP)- based operations in power systems. It is needed that a certain placement scheme of PMUs is suggested if power system scale gets larger. The optimal placement of PMU in power systems has been considered and formulated in order to reduce the number of installed PMUs while accomplishing a desired level of reliability of observation. Optimal PMU Placement (OPP) problem as the combinatorial optimization problem has been formulated to determine the minimum PMU location in the power system. In this paper, Disparity Evolution-type Genetic Algorithm (DEGA) based on disparity theory of evolution is applied. Genetic Algorithm (GA) is employed for the purpose of comparison with DEGA. The optimization model is solved for IEEE 118 standard bus system. DEGA can find better placement suggestion compared with GA because of the nature of evolution that models the double spiral structure of DNA to hold the diversity of population. |
| first_indexed | 2025-11-15T10:45:35Z |
| format | Article |
| id | upm-55825 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:45:35Z |
| publishDate | 2017 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-558252017-07-05T04:58:08Z http://psasir.upm.edu.my/id/eprint/55825/ Reliably optimal PMU placement using disparity evolution-based genetic algorithm Matsukawa, Yoshiaki Othman, Mohammad Lutfi Watanabe, Masayuki Mitani, Yasunori Phasor Measurement Units (PMUs) are an important component in Wide Area Protection (WAP)- based operations in power systems. It is needed that a certain placement scheme of PMUs is suggested if power system scale gets larger. The optimal placement of PMU in power systems has been considered and formulated in order to reduce the number of installed PMUs while accomplishing a desired level of reliability of observation. Optimal PMU Placement (OPP) problem as the combinatorial optimization problem has been formulated to determine the minimum PMU location in the power system. In this paper, Disparity Evolution-type Genetic Algorithm (DEGA) based on disparity theory of evolution is applied. Genetic Algorithm (GA) is employed for the purpose of comparison with DEGA. The optimization model is solved for IEEE 118 standard bus system. DEGA can find better placement suggestion compared with GA because of the nature of evolution that models the double spiral structure of DNA to hold the diversity of population. Universiti Putra Malaysia Press 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55825/1/12-JTS%28S%29-0088-2016-4thProof.pdf Matsukawa, Yoshiaki and Othman, Mohammad Lutfi and Watanabe, Masayuki and Mitani, Yasunori (2017) Reliably optimal PMU placement using disparity evolution-based genetic algorithm. Pertanika Journal of Science & Technology, 25 (spec. Jan.). pp. 103-110. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(S)%20Jan.%202017/12-JTS(S)-0088-2016-4thProof.pdf |
| spellingShingle | Matsukawa, Yoshiaki Othman, Mohammad Lutfi Watanabe, Masayuki Mitani, Yasunori Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title | Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title_full | Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title_fullStr | Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title_full_unstemmed | Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title_short | Reliably optimal PMU placement using disparity evolution-based genetic algorithm |
| title_sort | reliably optimal pmu placement using disparity evolution-based genetic algorithm |
| url | http://psasir.upm.edu.my/id/eprint/55825/ http://psasir.upm.edu.my/id/eprint/55825/ http://psasir.upm.edu.my/id/eprint/55825/1/12-JTS%28S%29-0088-2016-4thProof.pdf |