Research on Fault Diagnosis and Emergency Repair Methods for Distribution Networks Based on Graph Computing Topology Analysis

With the rapid increase of distribution network equipment, the topological structure of the power grid is also changing frequently, which leads to a significant increase in the uncertainty of the distribution network operation status. Firstly, a dynamic topological model of distribution network equipment was established, and a dynamic update method for the distribution network model was given. Then, a topological analysis framework for power grid graph computing was proposed. On this basis, four power grid-specific graph computing algorithms were implemented, and finally a distribution network fault diagnosis and repair method was constructed. The experimental results show that the proposed distribution network fault diagnosis and repair method based on graph computing topological analysis is feasible and effective.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11040483
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Fault Diagnosis and Emergency Repair Methods for Distribution Networks Based on Graph Computing Topology Analysis

M.-K. Liu, Luo Wang, Kai Liu, Jun Chen
Power Systems and Technologies
article

Research on Fault Diagnosis and Emergency Repair Methods for Distribution Networks Based on Graph Computing Topology Analysis

M.-K. Liu, Luo Wang, Kai Liu, Jun Chen
article en

Abstract

With the rapid increase of distribution network equipment, the topological structure of the power grid is also changing frequently, which leads to a significant increase in the uncertainty of the distribution network operation status. Firstly, a dynamic topological model of distribution network equipment was established, and a dynamic update method for the distribution network model was given. Then, a topological analysis framework for power grid graph computing was proposed. On this basis, four power grid-specific graph computing algorithms were implemented, and finally a distribution network fault diagnosis and repair method was constructed. The experimental results show that the proposed distribution network fault diagnosis and repair method based on graph computing topological analysis is feasible and effective.

NARI Group (China) (CN), Shanghai Electric (China) (CN)
Science and Technology Project of State Grid
Openalex Percentile: Top 87%
Power Systems and Technologies
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