Topology Identification Method for Low-Voltage Distribution Network Based on Minimized Collection of Load Characteristics

Accurate identification of low-voltage distribution network topology is critical for efficient power supply management, power outage location, line loss calculation, and ensuring the reliability of the power grid. Traditional methods of the topology identification of the distribution network rely either on additional hardware equipment to inject signals or on complex measuring equipment deployed all over the distribution network. In this paper, a low-voltage distribution network topology identification method based on minimized collection of load characteristics is proposed. First, the linear regression equation between the node voltages of the three-phase four-wire substation is derived. Then, the substation topology structure is restored from the end node upward according to the node impedance matrix. Finally, the test analysis was carried out in the actual low-voltage distribution network in a certain area of Ezhou City, China, which proved the effectiveness of the proposed identification algorithm.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/acfpe63443.2024.10801086
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topology Identification Method for Low-Voltage Distribution Network Based on Minimized Collection of Load Characteristics

Lei Yang, Zhichun Yang, Jin Dai, Yu Shen et al.
1 citations
Power Systems and Technologies
0.21
article

Topology Identification Method for Low-Voltage Distribution Network Based on Minimized Collection of Load Characteristics

Lei Yang, Zhichun Yang, Jin Dai, Yu Shen, Zihao Lu, Fan Yang
article en
1 citations

Abstract

Accurate identification of low-voltage distribution network topology is critical for efficient power supply management, power outage location, line loss calculation, and ensuring the reliability of the power grid. Traditional methods of the topology identification of the distribution network rely either on additional hardware equipment to inject signals or on complex measuring equipment deployed all over the distribution network. In this paper, a low-voltage distribution network topology identification method based on minimized collection of load characteristics is proposed. First, the linear regression equation between the node voltages of the three-phase four-wire substation is derived. Then, the substation topology structure is restored from the end node upward according to the node impedance matrix. Finally, the test analysis was carried out in the actual low-voltage distribution network in a certain area of Ezhou City, China, which proved the effectiveness of the proposed identification algorithm.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Power Systems and Technologies
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Topology Identification Method for Low-Voltage Distribution Network Based on Minimized Collection of Load Characteristics — Lei Yang, Zhichun Yang, et al. · (2024) | TGRS Research Map | TGRS