Automatic identification method of topology structure of low-voltage distribution station area based on multi-point measurement data
| Autor: | Lei Zhou, Jian Ma, Hao Huang, Taibao Xia, Xiaohan Ma |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 2355:012015 |
| ISSN: | 1742-6596 1742-6588 |
| Popis: | In order to improve the accuracy and success rate of the identification results of the topology structure of the station area, an automatic identification method of the topology structure of the low-voltage distribution station area based on multi-point measurement data is proposed. LoRa technology is used to obtain multi-point measurement data, and with the help of protocol compression technology, the acquisition of massive high-density measurement data is completed. A current-based identification model for the affiliation of equipment in the station area is constructed, and the affiliation between the primary branch and the secondary branch, and the affiliation between the secondary branch and the user energy meter cluster set are obtained by using the model. Finally, the DTW distance and cluster analysis are used to analyze the distribution terminal and the collected measurement data. So as to realize the automatic identification of the topology structure of the low-voltage distribution station area. The experimental results show that the identification results of the proposed method are more accurate, and the success rate is also effectively improved. |
| Databáze: | OpenAIRE |
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