Mobile Laboratory for Identification of Radial Distribution Network Topology
One of the important problems that exist today in distribution networks is the lack of accurate and reliable information about its topology and equivalent circuit. The article presents a new approach to identification of the distribution network topology. The approach is based on active distributio...
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| Jezik: | English |
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2023
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ir-20.500.12258-228452023-03-01T08:01:03Z Mobile Laboratory for Identification of Radial Distribution Network Topology Zelensky, E. G. Зеленский, Е. Г. Tuchina, D. S. Тучина, Д. С. Kononov, Y. G. Кононов, Ю. Г. Kozhevnikov, V. M. Кожевников, В. М. Smart Grid Distribution networks Topology identification Micro-PMU Supervisory Control And Data Acquisition One of the important problems that exist today in distribution networks is the lack of accurate and reliable information about its topology and equivalent circuit. The article presents a new approach to identification of the distribution network topology. The approach is based on active distribution network management. It is possible thanks to the development and applying of a mobile laboratory built on high-precision measuring equipment with an accuracy class of 0.05. The mobile laboratory is built on a three-level architecture, which includes: intelligent electronic devices; Supervisory Control And Data Acquisition server; application software that interacts with the user. It is shown that due to active load control, it becomes possible to identify the network topology using a simple recursive algorithm based on the analysis of voltage changes. The description of methodology and algorithm of network topology identification is resulted. The method for identifying the topology of 0.4 and 6 (10) kV networks consists of two stages: identification of the phases of each load; network topology identification independently for each phase. Considering 10kV feeder, the efficiency of this method was proved with the help of mathematical modelling. A detailed description of each stage of the algorithm is presented. 2023-03-01T07:56:12Z 2023-03-01T07:56:12Z 2022 Статья Zelenskii, E.G., Tuchina, D.S., Kononov, Y.G., Kozhevnikov, V.M. Mobile Laboratory for Identification of Radial Distribution Network Topology // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. - 2022. - pp. 2110-2115. - DOI: 10.1109/SIBIRCON56155.2022.10016979 http://hdl.handle.net/20.500.12258/22845 en 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 application/pdf |
| institution |
СКФУ |
| collection |
Репозиторий |
| language |
English |
| topic |
Smart Grid Distribution networks Topology identification Micro-PMU Supervisory Control And Data Acquisition |
| spellingShingle |
Smart Grid Distribution networks Topology identification Micro-PMU Supervisory Control And Data Acquisition Zelensky, E. G. Зеленский, Е. Г. Tuchina, D. S. Тучина, Д. С. Kononov, Y. G. Кононов, Ю. Г. Kozhevnikov, V. M. Кожевников, В. М. Mobile Laboratory for Identification of Radial Distribution Network Topology |
| description |
One of the important problems that exist today in distribution networks is the lack of accurate and reliable
information about its topology and equivalent circuit. The article presents a new approach to identification of the distribution network topology. The approach is based on active distribution network management. It is possible thanks to the development and applying of a mobile laboratory built on high-precision measuring equipment with an accuracy class of 0.05. The mobile laboratory is built on a three-level architecture, which includes: intelligent electronic devices; Supervisory Control And Data Acquisition server; application
software that interacts with the user. It is shown that due to active load control, it becomes possible to identify the network topology using a simple recursive algorithm based on the analysis of voltage changes. The description of methodology and algorithm of network topology identification is resulted. The method for identifying the topology of 0.4 and 6 (10) kV networks consists of two stages: identification of the
phases of each load; network topology identification independently for each phase. Considering 10kV feeder, the efficiency of this method was proved with the help of mathematical modelling. A detailed description of each stage of the algorithm is presented. |
| format |
Статья |
| author |
Zelensky, E. G. Зеленский, Е. Г. Tuchina, D. S. Тучина, Д. С. Kononov, Y. G. Кононов, Ю. Г. Kozhevnikov, V. M. Кожевников, В. М. |
| author_facet |
Zelensky, E. G. Зеленский, Е. Г. Tuchina, D. S. Тучина, Д. С. Kononov, Y. G. Кононов, Ю. Г. Kozhevnikov, V. M. Кожевников, В. М. |
| author_sort |
Zelensky, E. G. |
| title |
Mobile Laboratory for Identification of Radial Distribution Network Topology |
| title_short |
Mobile Laboratory for Identification of Radial Distribution Network Topology |
| title_full |
Mobile Laboratory for Identification of Radial Distribution Network Topology |
| title_fullStr |
Mobile Laboratory for Identification of Radial Distribution Network Topology |
| title_full_unstemmed |
Mobile Laboratory for Identification of Radial Distribution Network Topology |
| title_sort |
mobile laboratory for identification of radial distribution network topology |
| publishDate |
2023 |
| url |
https://dspace.ncfu.ru/handle/20.500.12258/22845 |
| work_keys_str_mv |
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