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Low-voltage distribution network topology identification based on constrained least square and graph theory

  • Mathematical methods in data science
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Abstract

Network topology is essential for the safe operation of a low-voltage (LV) distribution network. This network connectivity is difficult to obtain accurately due to the complex structure and low level of automation. In this paper, we first propose a four-level topology (which includes transformer, outlet cabinet, branch box, meter box) automatic identification method for distribution networks. Specifically, the proposed method is based on the constrained least square and graph theory to identify the network topology using LV intelligent circuit breaker energy measurements. It is noticeable that the proposed approach requires no additional hardware equipment. Instead, it derives the network topology directly from the measured data by energy conservation. The accuracy and effectiveness of the method are validated based on the practical application scenario of LV distribution networks and random simulation data.

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Funding

This work was supported by the National Key Research and Development Program of China under Grant (2018YFB1700103).

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Correspondence to Peng Zeng.

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Cui, S., Zeng, P., Song, C. et al. Low-voltage distribution network topology identification based on constrained least square and graph theory. Soft Comput 26, 8509–8519 (2022). https://doi.org/10.1007/s00500-022-07151-3

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