Abstract
Accurate topology identification of low-voltage distribution networks is of great significance for intelligent and refined management of power grids. Currently, manual inspection is costly and inefficient. This paper proposes an automatic method for identifying the transformer-customer relationships and phase in low-voltage distribution networks based on voltage similarity and grey correlation degree of critical time segments. Firstly, the principle of identifying transformer-customer relationships based on voltage time series similarity is presented. Secondly, the criteria for judging similarity by using grey correlation are provided, as well as the method for processing long time series through critical time segments. Finally, the effectiveness and accuracy of the proposed method are verified through a practical case study in a certain area.
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