A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement
Abstract The uncertainty brought by the integration of distributed generations in distribution networks poses a higher demand for situation awareness in the distribution network. Accurate identification of distribution network line parameters is of great significance for the operation and control of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.12955 |
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| _version_ | 1832579861190803456 |
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| author | Dongliang Xu Xuewen Song Zaijun Wu Junjun Xu Qinran Hu |
| author_facet | Dongliang Xu Xuewen Song Zaijun Wu Junjun Xu Qinran Hu |
| author_sort | Dongliang Xu |
| collection | DOAJ |
| description | Abstract The uncertainty brought by the integration of distributed generations in distribution networks poses a higher demand for situation awareness in the distribution network. Accurate identification of distribution network line parameters is of great significance for the operation and control of the distribution network. This paper proposes a method for identifying distribution network line parameters considering multisource measurement. Firstly, the initial values of conductivity and susceptance are obtained through linear regression and converted into resistance and reactance, respectively. Then, based on the series parallel connection of the network end branches, a non‐linear function about resistance reactance is derived. By combining the measurement data of micro phasor measurement unit and advanced metering infrastructure at multiple times, the non‐linear measurement equation of the line is established, and the Levenberg–Marquardt algorithm is used to solve the non‐linear function, thus achieving the identification of distribution line parameters. The case study demonstrates the accuracy and effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-85dc2c9e4114443fafa84728c66b71bf |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-85dc2c9e4114443fafa84728c66b71bf2025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163743375210.1049/rpg2.12955A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurementDongliang Xu0Xuewen Song1Zaijun Wu2Junjun Xu3Qinran Hu4School of Electrical Engineering Southeast University Nanjing ChinaSchool of Electrical Engineering Southeast University Nanjing ChinaSchool of Electrical Engineering Southeast University Nanjing ChinaSchool of Electrical Engineering Southeast University Nanjing ChinaSchool of Electrical Engineering Southeast University Nanjing ChinaAbstract The uncertainty brought by the integration of distributed generations in distribution networks poses a higher demand for situation awareness in the distribution network. Accurate identification of distribution network line parameters is of great significance for the operation and control of the distribution network. This paper proposes a method for identifying distribution network line parameters considering multisource measurement. Firstly, the initial values of conductivity and susceptance are obtained through linear regression and converted into resistance and reactance, respectively. Then, based on the series parallel connection of the network end branches, a non‐linear function about resistance reactance is derived. By combining the measurement data of micro phasor measurement unit and advanced metering infrastructure at multiple times, the non‐linear measurement equation of the line is established, and the Levenberg–Marquardt algorithm is used to solve the non‐linear function, thus achieving the identification of distribution line parameters. The case study demonstrates the accuracy and effectiveness of the proposed method.https://doi.org/10.1049/rpg2.12955distribution networkspower system parameter estimationpower system state estimation |
| spellingShingle | Dongliang Xu Xuewen Song Zaijun Wu Junjun Xu Qinran Hu A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement IET Renewable Power Generation distribution networks power system parameter estimation power system state estimation |
| title | A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement |
| title_full | A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement |
| title_fullStr | A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement |
| title_full_unstemmed | A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement |
| title_short | A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement |
| title_sort | levenberg marquardt algorithm based line parameters identification method for distribution network considering multisource measurement |
| topic | distribution networks power system parameter estimation power system state estimation |
| url | https://doi.org/10.1049/rpg2.12955 |
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