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Topology identification method of distribution network based on smart meter measurement data

  • Abstract: Traditional power distribution networks suffer from a lack of real-time observability. With the improvement of the intelligence and automation level of distribution network, the electric power company can acquire a large amount of measured data through the power information collection system. Accurate network and phase connection topology models are critical to the analysis, operation and programming of distribution systems. Although the topology information of the low-voltage distribution network is known by electric power company. However, with the rapid increase of new customers and the transformation of old lines, the low-voltage distribution network, especially the topology information data at the end of the line is usually missing or wrong. This thesis proposes a topology identification method of distribution network based on smart meter measurement data, by calculating the customer's time-voltage sequence data, the problem of lack of connection information between customers of low-voltage distribution network can be partially solved.

     

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