Research on Integrated Topology Recognition for Low-Voltage Distribution Substations

We introduce a technique for determining the topology of substations for low-voltage distribution that utilizes dynamic time warping (DTW) distance alongside the Least Absolute Shrinkage and Selection Operator (LASSO) method. Initially, the DTW distance is employed to assess the similarity of voltage curves from various users. Subsequently, the LASSO method is utilized to derive the relevant matrix within the buses of the distribution network. The effectiveness and accuracy of this proposed approach are confirmed through simulation results.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928633
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Research on Integrated Topology Recognition for Low-Voltage Distribution Substations

Rui Cao, Jian Cui, Xin Kang, Ze Zhang et al.
Power Systems and Technologies
article

Research on Integrated Topology Recognition for Low-Voltage Distribution Substations

Rui Cao, Jian Cui, Xin Kang, Ze Zhang, Cong Wang, Xueping Li, Guojing Hu, M. Li
article en

Abstract

We introduce a technique for determining the topology of substations for low-voltage distribution that utilizes dynamic time warping (DTW) distance alongside the Least Absolute Shrinkage and Selection Operator (LASSO) method. Initially, the DTW distance is employed to assess the similarity of voltage curves from various users. Subsequently, the LASSO method is utilized to derive the relevant matrix within the buses of the distribution network. The effectiveness and accuracy of this proposed approach are confirmed through simulation results.

Shanghai Electric (China) (CN)
State Grid Shandong Electric Power Company
Openalex Percentile: Top 73%
Power Systems and Technologies
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