Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph

The reliability of the power supply is intrinsically linked to the robustness of the distribution network. Constructing a distribution network model is highly challenging due to its complex structure, the large number of equipment and users, and the randomness of load variations and equipment failures. Knowledge graphs, a structured data representation describing entities and their relationships, can address challenges by modelling various devices, users and real-time operation data as entities in a graphical manner. As a result, the constructed large network graphs are not only easy to interpret, but also efficient in data management and reliability analysis. The results are promising and validate our hypothesis.

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Publication Details

Journal
Nonlinear Analysis and Computer Simulations
Published
2026-07-02
DOI
https://doi.org/10.53941/nacs.2026.100011
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
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Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph

Wanqing Song, Yujia Zhang, Wei Cheng, Hamid Reza Karimi et al.
Nonlinear Analysis and Computer Simulations
Power System Reliability and Maintenance
article

Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph

Wanqing Song, Yujia Zhang, Wei Cheng, Hamid Reza Karimi, Hongqing Zheng
article en

Abstract

The reliability of the power supply is intrinsically linked to the robustness of the distribution network. Constructing a distribution network model is highly challenging due to its complex structure, the large number of equipment and users, and the randomness of load variations and equipment failures. Knowledge graphs, a structured data representation describing entities and their relationships, can address challenges by modelling various devices, users and real-time operation data as entities in a graphical manner. As a result, the constructed large network graphs are not only easy to interpret, but also efficient in data management and reliability analysis. The results are promising and validate our hypothesis.

Nonlinear Analysis and Computer SimulationsVol. 1(3)
University of Alberta (CA), Minnan University of Science and Technology (CN), Politecnico di Milano (IT)
Affordable and clean energy
Openalex Percentile: Top 8%
Power System Reliability and Maintenance
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Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph — Wanqing Song, Yujia Zhang, et al. · Nonlinear Analysis and Computer Simulations (2026) | TGRS Research Map | TGRS